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Eric Horvitz

January 13, 2023

Eric Joel Horvitz (/ˈhɔːrvɪts/) is an American computer scientist, and Technical Fellow at Microsoft, where he serves as the company's first Chief Scientific Officer.[1] He was previously the director of Microsoft Research Labs, including research centers in Redmond, WA, Cambridge, MA, New York, NY, Montreal, Canada, Cambridge, UK, and Bangalore, India.

Eric Horvitz
Born
Eric Joel Horvitz
NationalityAmerican
OccupationComputer scientist
EmployerMicrosoft
TitleChief Scientific Officer

Horvitz was elected a member of the National Academy of Engineering in 2013 for computational mechanisms for decision making under uncertainty and with bounded resources.

Biography

Horvitz received his Ph.D and M.D. from Stanford University.[2] His doctoral dissertation, Computation and Action Under Bounded Resources, and follow-on research introduced models of bounded rationality founded in probability and decision theory. He did his doctoral work under advisors Ronald A. Howard, George B. Dantzig, Edward H. Shortliffe, and Patrick Suppes.

He is currently the Chief Scientific Officer of Microsoft. He has been elected Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the National Academy of Engineering (NAE), the American Academy of Arts and Sciences, and of the American Association for the Advancement of Science (AAAS).

He was elected as an ACM Fellow in 2014 for "contributions to artificial intelligence, and human-computer interaction."[3]

He was elected to the ACM CHI Academy in 2013 for “research at the intersection of human-computer interaction and artificial intelligence.”[4]

He was elected to the American Philosophical Society in 2018.[5]

In 2015, he was awarded the AAAI Feigenbaum Prize,[6] a biennial award for sustained and high-impact contributions to the field of artificial intelligence through the development of computational models of perception, reflection and action, and their application in time-critical decision making, and intelligent information, traffic, and healthcare systems.

In 2015, he was also awarded the ACM - AAAI Allen Newell Award,[7] for "contributions to artificial intelligence and human-computer interaction spanning the computing and decision sciences through developing principles and models of sensing, reflection, and rational action."

He serves on the President's Council of Advisors on Science and Technology[8] (PCAST), the Scientific Advisory Committee of the Allen Institute for Artificial Intelligence (AI2), and the Computer Science and Telecommunications Board[9] (CSTB) of the US National Academies.

He has served as president of the Association for the Advancement of AI (AAAI), on the NSF Computer & Information Science & Engineering (CISE) Advisory Board, on the council of the Computing Community Consortium (CCC), chair of the Section on Information, Computing, and Communications of the American Association for the Advancement of Science (AAAS), on the Board of Regents[10] of the US National Library of Medicine (NLM), and the U.S. National Security Commission on AI.

Work

Horvitz's research interests span theoretical and practical challenges with developing systems that perceive, learn, and reason. His contributions include advances in principles and applications of machine learning and inference, information retrieval, human-computer interaction, bioinformatics, and e-commerce.

Horvitz played a significant role in the use of probability and decision theory in artificial intelligence. His work raised the credibility of artificial intelligence in other areas of computer science and computer engineering, influencing fields ranging from human-computer interaction to operating systems. His research helped establish the link between artificial intelligence and decision science. As an example, he coined the concept of bounded optimality, a decision-theoretic approach to bounded rationality.[11] The influences of bounded optimality extend beyond computer science into cognitive science and psychology.[12][13]

He studied the use of probability and utility to guide automated reasoning for decision making. The methods include consideration of the solving of streams of problems[14] in environments over time. In related work, he applied probability and machine learning to solve combinatorial problems and to guide theorem proving.[15] He introduced the anytime algorithm paradigm in AI,[16][17] where partial results, probabilities, or utilities of outcomes are refined with computation under different availabilities or costs of time, guided by the expected value of computation.[18][19]

He has issued long-term challenge problems for AI[20]—and has espoused a vision of open-world AI,[21] where machine intelligences have the ability to understand and perform well in the larger world where they encounter situations they have not seen before.

He has explored synergies between human and machine intelligence.[22] He introduced principles for using machine learning and decision theory to guide machine versus human initiative,[23] methods that provide AI systems with understandings of when to transfer problem solving to humans,[24] and the use of machine learning and planning techniques to identify and merge the complementary abilities of people and AI systems.[25][22][26] In work on human-centered AI, he introduced measures and models of the expected value of displayed information to guide the display of information to human decision makers in time-critical settings[27] and methods for making statistical AI inferences more understandable.[28] He introduced models of human attention in computing systems,[29][30] and studied the use of machine learning to infer the cost of interruptions to computer users.[31][32] His use of machine learning to build models of human surprise was featured as a technology breakthrough by MIT Technology Review.[33]

He investigated the use of AI methods to provide assistance to users including help with software[34][35] and in the daily life.[36]

He made contributions to multimodal interaction.[37] In 2015, he received the ACM ICMI Sustained Accomplishment Award[38][39] for contributions to multimodal interaction. His work on multimodal interaction includes studies of situated interaction,[40][41] where systems consider physical details of open-world settings and can perform dialog with multiple people.[42]

He co-authored probability-based methods to enhance privacy, including a model of altruistic sharing of data called community sensing[43] and risk-sensitive approaches[44] including stochastic privacy.[45]

He is Microsoft's top inventor.[46]

He led efforts in applying AI methods to computing systems, including machine learning for memory management in Windows,[47] web prefetching,[48] graphics rendering,[49] and web crawling.[50] He did early work on AI for debugging software.[51]

Horvitz speaks on the topic of artificial intelligence, including on NPR and the Charlie Rose show.[52][53][54] Online talks include both technical lectures and presentations for general audiences (TEDx Austin: Making Friends with Artificial Intelligence). His research has been featured in The New York Times and MIT Technology Review.[55][56][57][33] He has testified before the US Senate on pro gress, opportunities, and challenges with AI.[58]

AI and Society

He has addressed technical and societal challenges and opportunities with the fielding of AI technologies in the open world,[59] including beneficial uses of AI,[60] AI safety and robustness,[61] and where AI systems and capabilities can have inadvertent effects, pose dangers, or be misused.[59][62][63][64] He has presented on caveats with applications of AI in military settings.[65] He and Thomas G. Dietterich called for work on AI alignment, saying that AI systems "must reason about what people intend rather than carrying out commands literally."[62]

He has called for action on potential risks to civil liberties posed by government uses of data in AI systems.[66] He and privacy scholar Deirdre Mulligan stated that society must balance privacy concerns with benefits of data for social benefit.[67]

He has presented on the risks of AI-enabled deepfakes and contributed to media provenance technologies[68] that cryptographically certify the source and history of edits of digital content.[69]

Asilomar AI Study

He served as President of the AAAI from 2007–2009. As AAAI President, he called together and co-chaired the Asilomar AI study which culminated in a meeting of AI scientists at Asilomar in February 2009. The study considered the nature and timing of AI successes and reviewed concerns about directions with AI developments, including the potential loss of control over computer-based intelligences, and also efforts that could reduce concerns and enhance long-term societal outcomes. The study was the first meeting of AI scientists to address concerns about superintelligence and loss of control of AI and attracted interest by the public.[70]

In coverage of the Asilomar study, he said that scientists must study and respond to notions of superintelligent machines and concerns about artificial intelligence systems escaping from human control.[70] In a later NPR interview, he said that investments in scientific studies of superintelligences would be valuable to guide proactive efforts even if people believed that the probability of losing of control of AI was low because of the cost of such outcomes.[71]

One Hundred Year Study on Artificial Intelligence

In 2014, Horvitz defined and funded with his wife the One Hundred Year Study of Artificial Intelligence (AI100) at Stanford University.[72][73] In 2016, the AI Index was launched as a project of the One Hundred Year Study.

According to Horvitz, the AI100 gift, which may increase in the future, is sufficient to fund the study for a century.[73] A Stanford press release stated that sets of committees over a century will "study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play." A framing memo for the study calls out 18 topics for consideration, including law, ethics, the economy, war, and crime.[73][74] Topics include abuses of AI that could pose threats to democracy and freedom and addressing possibilities of superintelligences and loss of control of AI.

The One Hundred Year Study is overseen by a Standing Committee. The Standing Committee formulates questions and themes and organizes a Study Panel every five years. The Study Panel issues a report that assesses the status and rate of progress of AI technologies, challenges, and opportunities with regard to AI's influences on people and society.

The 2015 study panel of the One Hundred Year Study, chaired by Peter Stone, released a report in September 2016, titled "Artificial Intelligence and Life in 2030."[75] The panel advocated for increased public and private spending on the industry, recommended increased AI expertise at all levels of government, and recommended against blanket government regulation.[76][77] Panel chair Peter Stone argues that AI won't automatically replace human workers, but rather, will supplement the workforce and create new jobs in tech maintenance.[76] While mainly focusing on the next 15 years, the report touched on concerns and expectations that had risen in prominence over the last decade about the risks of superintelligent robots, stating "Unlike in the movies, there's no race of superhuman robots on the horizon or probably even possible.[77][78] Stone stated that "it was a conscious decision not to give credence to this in the report."[73]

The report of the second cycle of the AI100 study, chaired by Michael Littman, was published in 2016.[79][80]

Founding of Partnership on AI

He co-founded and has served as board chair of the Partnership on AI, a non-profit organization bringing together Apple, Amazon, Facebook, Google, DeepMind, IBM, and Microsoft with representatives from civil society, academia, and non-profit R&D. The organization's website points at initiatives, including studies of risk scores in criminal justice,[81] facial recognition systems,[82] AI and economy,[83] AI safety,[84] AI and media integrity,[85] and documentation of AI systems.[86]

Microsoft Aether Committee

He founded and chairs the Aether Committee at Microsoft, Microsoft's internal committee on the responsible development and fielding of AI technologies.[87][88] He reported that the Aether Committee had made recommendations on and guided decisions that have influenced Microsoft's commercial AI efforts.[89][90] In April 2020, Microsoft published content on principles, guidelines, and tools developed by the Aether Committee and its working groups, including teams focused on AI reliability and safety, bias and fairness, intelligibility and explanation, and human-AI collaboration.[91]

Publications

Books

  • Horvitz, E. (December 1990), Computation and Action Under Bounded Resources (PDF) (Dissertation), Stanford, CA: Stanford University

Selected articles

  • Horvitz, E. (2017-07-07), "AI, people, and society", Science, 357 (6346): 7, Bibcode:2017Sci...357....7H, doi:10.1126/science.aao2466, PMID 28684472
  • Gershman, S.; Horvitz, E.; Tenenbaum, J. (2015-07-17), "Computational rationality: A converging paradigm for intelligence in brains, minds, and machines", Science, 349 (6245): 273–278, Bibcode:2015Sci...349..273G, doi:10.1126/science.aac6076, PMID 26185246, S2CID 14818619
  • Kamar, E.; Hacker, S.; Horvitz, E. (June 2012), "Combining Human and Machine Intelligence in Large-scale Crowdsourcing" (PDF), AAMAS '12 Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1, Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, 1: 467–474, ISBN 978-0-9817381-1-6
  • Horvitz, E. (July 2008), "Artificial Intelligence in the Open World", Opening Session of the Annual Meeting, Association for the Advancement of Artificial Intelligence (Lecture), Chicago, IL
  • Horvitz, E; Kadie, C; Paek, T; Hovel, D (March 2003), "Models of Attention in Computing and Communication: from Principles to Applications" (PDF), Communications of the ACM, ACM, vol. 46, no. 3, pp. 52–59, doi:10.1145/636772.636798, S2CID 2584780
  • Horvitz, E. (February 2001), "Principles and Applications of Continual Computation" (PDF), Artificial Intelligence, 126 (1–2): 159–196, CiteSeerX 10.1.1.476.5653, doi:10.1016/S0004-3702(00)00082-5
  • Horvitz, E (May 1999). "Principles of mixed-initiative user interfaces" (PDF). Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99. CHI '99 Proceedings of the SIGCHI conference on Human Factors in Computing Systems. New York, NY: ACM. pp. 159–166. doi:10.1145/302979.303030. ISBN 0-201-48559-1. S2CID 8943607.
  • Horvitz, E; Barry, M (August 1995), "Display of information for time-critical decision making" (PDF), UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence, San Francisco, CA: Morgan Kaufmann Publishers Inc, pp. 296–305, ISBN 1-55860-385-9
  • D, Heckerman; Horvitz, E; Nathwani, Bharat (June 1992), "Toward Normative Expert Systems: Part I, the Pathfinder Project" (PDF), Methods of Information in Medicine, 31 (2): 90–105, doi:10.1055/s-0038-1634867, PMID 1635470
  • Henrion, M.; Breese, J.; Horvitz, E. (1991), "Decision analysis and expert systems", AI Magazine, Menlo Park, CA: American Association for Artificial Intelligence, 12 (4): 64–91, doi:10.1609/aimag.v12i4.919, S2CID 18217939
  • Shwe, M.; Middleton, B.; Heckerman, D.; Hernion, M.; Horvitz, E.; Lehmann, H.; Cooper, G. (October 1991), "Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base" (PDF), Methods of Information in Medicine, 30 (4): 241–255, doi:10.1055/s-0038-1634846
  • Horvitz, E.; Cooper, G.F.; Heckerman, D. (August 1989), "Reflection and action under scarce resources: Theoretical principles and empirical study" (PDF), IJCAI'89 Proceedings of the 11th International Joint Conference on Artificial Intelligence - Volume 2, San Francisco, CA: Morgan Kaufmann Publishers Inc.: 1121–1127
  • Horvitz, E. (August 1988), "Reasoning under varying and uncertain resource constraints" (PDF), AAAI'88 Proceedings of the Seventh AAAI National Conference on Artificial Intelligence, AAAI Press: 111–116
  • Horvitz, E.; Breese, J.; Henrion, M. (July 1988), "Decision theory in expert systems and artificial intelligence" (PDF), International Journal of Approximate Reasoning, New York, NY: Elsevier Science Inc., 2 (3): 247–302, doi:10.1016/0888-613X(88)90120-X
  • Horvitz, E. (July 1987), Reasoning about beliefs and actions under computational resource constraints (PDF), Arlington, VA: AUAI Press, pp. 429–447, arXiv:1304.2759, Bibcode:2013arXiv1304.2759H, ISBN 0-444-87417-8

Podcasts

  • AI and Our Future With Machines with Dr. Eric Horvitz, Microsoft Research Podcast, 4 Dec 2017
  • Potential and Pitfalls of AI with Dr. Eric Horvitz, Microsoft Research Podcast, 5 Mar 2020

References

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External links

  • Profile page at Microsoft Research
  • One Hundred Year Study on Artificial Intelligence (AI100)
  • Audio: Challenge Problems for AI
  • TEDx Austin: Making Friends with Artificial Intelligence
  • NPR: Science Friday: Improving Healthcare One Search at a Time
  • BBC: "Artificial intelligence: How to turn Siri into Samantha"
  • Keynote address, Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2014: Videolectures.net

January 13, 2023
eric, horvitz, eric, joel, horvitz, ɔːr, american, computer, scientist, technical, fellow, microsoft, where, serves, company, first, chief, scientific, officer, previously, director, microsoft, research, labs, including, research, centers, redmond, cambridge, . Eric Joel Horvitz ˈ h ɔːr v ɪ t s is an American computer scientist and Technical Fellow at Microsoft where he serves as the company s first Chief Scientific Officer 1 He was previously the director of Microsoft Research Labs including research centers in Redmond WA Cambridge MA New York NY Montreal Canada Cambridge UK and Bangalore India Eric HorvitzBornEric Joel HorvitzNationalityAmericanOccupationComputer scientistEmployerMicrosoftTitleChief Scientific OfficerHorvitz was elected a member of the National Academy of Engineering in 2013 for computational mechanisms for decision making under uncertainty and with bounded resources Contents 1 Biography 2 Work 3 AI and Society 3 1 Asilomar AI Study 3 2 One Hundred Year Study on Artificial Intelligence 3 3 Founding of Partnership on AI 3 4 Microsoft Aether Committee 4 Publications 4 1 Books 4 2 Selected articles 4 3 Podcasts 5 References 6 External linksBiography EditHorvitz received his Ph D and M D from Stanford University 2 His doctoral dissertation Computation and Action Under Bounded Resources and follow on research introduced models of bounded rationality founded in probability and decision theory He did his doctoral work under advisors Ronald A Howard George B Dantzig Edward H Shortliffe and Patrick Suppes He is currently the Chief Scientific Officer of Microsoft He has been elected Fellow of the Association for the Advancement of Artificial Intelligence AAAI the National Academy of Engineering NAE the American Academy of Arts and Sciences and of the American Association for the Advancement of Science AAAS He was elected as an ACM Fellow in 2014 for contributions to artificial intelligence and human computer interaction 3 He was elected to the ACM CHI Academy in 2013 for research at the intersection of human computer interaction and artificial intelligence 4 He was elected to the American Philosophical Society in 2018 5 In 2015 he was awarded the AAAI Feigenbaum Prize 6 a biennial award for sustained and high impact contributions to the field of artificial intelligence through the development of computational models of perception reflection and action and their application in time critical decision making and intelligent information traffic and healthcare systems In 2015 he was also awarded the ACM AAAI Allen Newell Award 7 for contributions to artificial intelligence and human computer interaction spanning the computing and decision sciences through developing principles and models of sensing reflection and rational action He serves on the President s Council of Advisors on Science and Technology 8 PCAST the Scientific Advisory Committee of the Allen Institute for Artificial Intelligence AI2 and the Computer Science and Telecommunications Board 9 CSTB of the US National Academies He has served as president of the Association for the Advancement of AI AAAI on the NSF Computer amp Information Science amp Engineering CISE Advisory Board on the council of the Computing Community Consortium CCC chair of the Section on Information Computing and Communications of the American Association for the Advancement of Science AAAS on the Board of Regents 10 of the US National Library of Medicine NLM and the U S National Security Commission on AI Work EditHorvitz s research interests span theoretical and practical challenges with developing systems that perceive learn and reason His contributions include advances in principles and applications of machine learning and inference information retrieval human computer interaction bioinformatics and e commerce Horvitz played a significant role in the use of probability and decision theory in artificial intelligence His work raised the credibility of artificial intelligence in other areas of computer science and computer engineering influencing fields ranging from human computer interaction to operating systems His research helped establish the link between artificial intelligence and decision science As an example he coined the concept of bounded optimality a decision theoretic approach to bounded rationality 11 The influences of bounded optimality extend beyond computer science into cognitive science and psychology 12 13 He studied the use of probability and utility to guide automated reasoning for decision making The methods include consideration of the solving of streams of problems 14 in environments over time In related work he applied probability and machine learning to solve combinatorial problems and to guide theorem proving 15 He introduced the anytime algorithm paradigm in AI 16 17 where partial results probabilities or utilities of outcomes are refined with computation under different availabilities or costs of time guided by the expected value of computation 18 19 He has issued long term challenge problems for AI 20 and has espoused a vision of open world AI 21 where machine intelligences have the ability to understand and perform well in the larger world where they encounter situations they have not seen before He has explored synergies between human and machine intelligence 22 He introduced principles for using machine learning and decision theory to guide machine versus human initiative 23 methods that provide AI systems with understandings of when to transfer problem solving to humans 24 and the use of machine learning and planning techniques to identify and merge the complementary abilities of people and AI systems 25 22 26 In work on human centered AI he introduced measures and models of the expected value of displayed information to guide the display of information to human decision makers in time critical settings 27 and methods for making statistical AI inferences more understandable 28 He introduced models of human attention in computing systems 29 30 and studied the use of machine learning to infer the cost of interruptions to computer users 31 32 His use of machine learning to build models of human surprise was featured as a technology breakthrough by MIT Technology Review 33 He investigated the use of AI methods to provide assistance to users including help with software 34 35 and in the daily life 36 He made contributions to multimodal interaction 37 In 2015 he received the ACM ICMI Sustained Accomplishment Award 38 39 for contributions to multimodal interaction His work on multimodal interaction includes studies of situated interaction 40 41 where systems consider physical details of open world settings and can perform dialog with multiple people 42 He co authored probability based methods to enhance privacy including a model of altruistic sharing of data called community sensing 43 and risk sensitive approaches 44 including stochastic privacy 45 He is Microsoft s top inventor 46 He led efforts in applying AI methods to computing systems including machine learning for memory management in Windows 47 web prefetching 48 graphics rendering 49 and web crawling 50 He did early work on AI for debugging software 51 Horvitz speaks on the topic of artificial intelligence including on NPR and the Charlie Rose show 52 53 54 Online talks include both technical lectures and presentations for general audiences TEDx Austin Making Friends with Artificial Intelligence His research has been featured in The New York Times and MIT Technology Review 55 56 57 33 He has testified before the US Senate on pro gress opportunities and challenges with AI 58 AI and Society EditHe has addressed technical and societal challenges and opportunities with the fielding of AI technologies in the open world 59 including beneficial uses of AI 60 AI safety and robustness 61 and where AI systems and capabilities can have inadvertent effects pose dangers or be misused 59 62 63 64 He has presented on caveats with applications of AI in military settings 65 He and Thomas G Dietterich called for work on AI alignment saying that AI systems must reason about what people intend rather than carrying out commands literally 62 He has called for action on potential risks to civil liberties posed by government uses of data in AI systems 66 He and privacy scholar Deirdre Mulligan stated that society must balance privacy concerns with benefits of data for social benefit 67 He has presented on the risks of AI enabled deepfakes and contributed to media provenance technologies 68 that cryptographically certify the source and history of edits of digital content 69 Asilomar AI Study Edit He served as President of the AAAI from 2007 2009 As AAAI President he called together and co chaired the Asilomar AI study which culminated in a meeting of AI scientists at Asilomar in February 2009 The study considered the nature and timing of AI successes and reviewed concerns about directions with AI developments including the potential loss of control over computer based intelligences and also efforts that could reduce concerns and enhance long term societal outcomes The study was the first meeting of AI scientists to address concerns about superintelligence and loss of control of AI and attracted interest by the public 70 In coverage of the Asilomar study he said that scientists must study and respond to notions of superintelligent machines and concerns about artificial intelligence systems escaping from human control 70 In a later NPR interview he said that investments in scientific studies of superintelligences would be valuable to guide proactive efforts even if people believed that the probability of losing of control of AI was low because of the cost of such outcomes 71 One Hundred Year Study on Artificial Intelligence Edit In 2014 Horvitz defined and funded with his wife the One Hundred Year Study of Artificial Intelligence AI100 at Stanford University 72 73 In 2016 the AI Index was launched as a project of the One Hundred Year Study According to Horvitz the AI100 gift which may increase in the future is sufficient to fund the study for a century 73 A Stanford press release stated that sets of committees over a century will study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work live and play A framing memo for the study calls out 18 topics for consideration including law ethics the economy war and crime 73 74 Topics include abuses of AI that could pose threats to democracy and freedom and addressing possibilities of superintelligences and loss of control of AI The One Hundred Year Study is overseen by a Standing Committee The Standing Committee formulates questions and themes and organizes a Study Panel every five years The Study Panel issues a report that assesses the status and rate of progress of AI technologies challenges and opportunities with regard to AI s influences on people and society The 2015 study panel of the One Hundred Year Study chaired by Peter Stone released a report in September 2016 titled Artificial Intelligence and Life in 2030 75 The panel advocated for increased public and private spending on the industry recommended increased AI expertise at all levels of government and recommended against blanket government regulation 76 77 Panel chair Peter Stone argues that AI won t automatically replace human workers but rather will supplement the workforce and create new jobs in tech maintenance 76 While mainly focusing on the next 15 years the report touched on concerns and expectations that had risen in prominence over the last decade about the risks of superintelligent robots stating Unlike in the movies there s no race of superhuman robots on the horizon or probably even possible 77 78 Stone stated that it was a conscious decision not to give credence to this in the report 73 The report of the second cycle of the AI100 study chaired by Michael Littman was published in 2016 79 80 Founding of Partnership on AI Edit He co founded and has served as board chair of the Partnership on AI a non profit organization bringing together Apple Amazon Facebook Google DeepMind IBM and Microsoft with representatives from civil society academia and non profit R amp D The organization s website points at initiatives including studies of risk scores in criminal justice 81 facial recognition systems 82 AI and economy 83 AI safety 84 AI and media integrity 85 and documentation of AI systems 86 Microsoft Aether Committee Edit He founded and chairs the Aether Committee at Microsoft Microsoft s internal committee on the responsible development and fielding of AI technologies 87 88 He reported that the Aether Committee had made recommendations on and guided decisions that have influenced Microsoft s commercial AI efforts 89 90 In April 2020 Microsoft published content on principles guidelines and tools developed by the Aether Committee and its working groups including teams focused on AI reliability and safety bias and fairness intelligibility and explanation and human AI collaboration 91 Publications EditBooks Edit Horvitz E December 1990 Computation and Action Under Bounded Resources PDF Dissertation Stanford CA Stanford UniversitySelected articles Edit Horvitz E 2017 07 07 AI people and society Science 357 6346 7 Bibcode 2017Sci 357 7H doi 10 1126 science aao2466 PMID 28684472 Gershman S Horvitz E Tenenbaum J 2015 07 17 Computational rationality A converging paradigm for intelligence in brains minds and machines Science 349 6245 273 278 Bibcode 2015Sci 349 273G doi 10 1126 science aac6076 PMID 26185246 S2CID 14818619 Kamar E Hacker S Horvitz E June 2012 Combining Human and Machine Intelligence in Large scale Crowdsourcing PDF AAMAS 12 Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems Volume 1 Richland SC International Foundation for Autonomous Agents and Multiagent Systems 1 467 474 ISBN 978 0 9817381 1 6 Horvitz E July 2008 Artificial Intelligence in the Open World Opening Session of the Annual Meeting Association for the Advancement of Artificial Intelligence Lecture Chicago IL Horvitz E Kadie C Paek T Hovel D March 2003 Models of Attention in Computing and Communication from Principles to Applications PDF Communications of the ACM ACM vol 46 no 3 pp 52 59 doi 10 1145 636772 636798 S2CID 2584780 Horvitz E February 2001 Principles and Applications of Continual Computation PDF Artificial Intelligence 126 1 2 159 196 CiteSeerX 10 1 1 476 5653 doi 10 1016 S0004 3702 00 00082 5 Horvitz E May 1999 Principles of mixed initiative user interfaces PDF Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit CHI 99 CHI 99 Proceedings of the SIGCHI conference on Human Factors in Computing Systems New York NY ACM pp 159 166 doi 10 1145 302979 303030 ISBN 0 201 48559 1 S2CID 8943607 Horvitz E Barry M August 1995 Display of information for time critical decision making PDF UAI 95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence San Francisco CA Morgan Kaufmann Publishers Inc pp 296 305 ISBN 1 55860 385 9 D Heckerman Horvitz E Nathwani Bharat June 1992 Toward Normative Expert Systems Part I the Pathfinder Project PDF Methods of Information in Medicine 31 2 90 105 doi 10 1055 s 0038 1634867 PMID 1635470 Henrion M Breese J Horvitz E 1991 Decision analysis and expert systems AI Magazine Menlo Park CA American Association for Artificial Intelligence 12 4 64 91 doi 10 1609 aimag v12i4 919 S2CID 18217939 Shwe M Middleton B Heckerman D Hernion M Horvitz E Lehmann H Cooper G October 1991 Probabilistic diagnosis using a reformulation of the INTERNIST 1 QMR knowledge base PDF Methods of Information in Medicine 30 4 241 255 doi 10 1055 s 0038 1634846 Horvitz E Cooper G F Heckerman D August 1989 Reflection and action under scarce resources Theoretical principles and empirical study PDF IJCAI 89 Proceedings of the 11th International Joint Conference on Artificial Intelligence Volume 2 San Francisco CA Morgan Kaufmann Publishers Inc 1121 1127 Horvitz E August 1988 Reasoning under varying and uncertain resource constraints PDF AAAI 88 Proceedings of the Seventh AAAI National Conference on Artificial Intelligence AAAI Press 111 116 Horvitz E Breese J Henrion M July 1988 Decision theory in expert systems and artificial intelligence PDF International Journal of Approximate Reasoning New York NY Elsevier Science Inc 2 3 247 302 doi 10 1016 0888 613X 88 90120 X Horvitz E July 1987 Reasoning about beliefs and actions under computational resource constraints PDF Arlington VA AUAI Press pp 429 447 arXiv 1304 2759 Bibcode 2013arXiv1304 2759H ISBN 0 444 87417 8Podcasts Edit AI and Our Future With Machines with Dr Eric Horvitz Microsoft Research Podcast 4 Dec 2017 Potential and Pitfalls of AI with Dr Eric Horvitz Microsoft Research Podcast 5 Mar 2020References Edit Bonifacic Igor 11 March 2020 Microsoft appoints its first ever chief scientific officer Engadget Retrieved 27 March 2020 Eric Horvitz IEEE Xplore Digital Library Retrieved 3 June 2019 ERIC HORVITZ ACM Fellows 2014 2013 SIGCHI Awards ACM SIGCHI Retrieved 2022 03 22 Election of New Members at the 2018 Spring Meeting American Philosophical Society The AAAI Feigenbaum Prize AAAI Retrieved 14 April 2016 ERIC HORVITZ Award Winner ACM Retrieved 3 June 2019 Eric Horvitz MD PhD The White House Retrieved 2022 01 05 the Scientific Advisory Committee of the Allen Institute for Artificial Intelligence AI2 and the Computer Science and Telecommunications Board CSTB Membership of the Computer Science and Telecommunications Board The National Academies of Sciences Engineering and Medicine Retrieved 3 June 2019 About the Computer Science and Telecommunications Board National Academies Retrieved 2022 01 14 Board of Regents U S National Library of Medicine Retrieved 3 June 2019 Mackworth Alan July 2008 Introduction of Eric Horvitz PDF AAAI Presidential Address Gershman Samuel J Horvitz Eric J Tenenbaum Joshua B 17 July 2015 Computational rationality A converging paradigm for intelligence in brains minds and machines Science 349 6245 273 278 Bibcode 2015Sci 349 273G doi 10 1126 science aac6076 PMID 26185246 S2CID 14818619 Howes Andrew Duggan Geoffrey B Kalidindi Kiran Tseng Yuan Chi Lewis Richard L 1 July 2016 Predicting Short term Remembering as Boundedly Optimal Strategy Choice PDF Cognitive Science 40 5 1192 1223 doi 10 1111 cogs 12271 PMID 26294328 Horvitz Eric February 2001 Principles and Applications of Continual Computation Artificial Intelligence 126 1 2 159 196 CiteSeerX 10 1 1 476 5653 doi 10 1016 S0004 3702 00 00082 5 Horvitz Eric J Ruan Y Gomes C Kautz H Selman B Chickering D M July 2001 A Bayesian Approach to Tackling Hard Computational Problems PDF Proceedings of the Conference on Uncertainty and Artificial Intelligence 235 244 Horvitz Eric July 1987 Reasoning about beliefs and actions under computational resource constraints PDF UAI 87 Proceedings of the Third Conference on Uncertainty in Artificial Intelligence Arlington VA AUAI Press 429 447 ISBN 0 444 87417 8 Horvitz Eric August 1988 Reasoning under varying and uncertain resource constraints PDF AAAI 88 Proceedings of the Seventh AAAI National Conference on Artificial Intelligence AAAI Press 111 116 Horvitz Eric J Cooper Gregory F Heckerman David E August 1989 Reflection and action under scarce resources theoretical principles and empirical study PDF IJCAI 89 Proceedings of the 11th International Joint Conference on Artificial Intelligence Volume 2 San Francisco CA Morgan Kaufmann Publishers Inc 1121 1127 Horvitz Eric December 1990 Computation and Action Under Bounded Resources PDF PhD thesis Stanford University Selman B Brooks R Dean T Horvitz E Mitchell T Nilsson N August 1996 Challenge Problems for Artificial Intelligence Proceedings of AAAI 96 Thirteenth National Conference on Artificial Intelligence Portland Oregon 1340 1345 Horvitz Eric July 2008 Artificial Intelligence in the Open World AAAI Presidential Lecture a b Horvitz Eric Jan 13 2020 2019 Annual Meeting Plenary People Machines and Intelligence YouTube Retrieved 2020 04 02 Horvitz Eric May 1999 Principles of mixed initiative user interfaces PDF Proceeding CHI 99 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems New York NY ACM 159 166 CiteSeerX 10 1 1 78 7280 doi 10 1145 302979 303030 ISBN 0 201 48559 1 S2CID 8943607 Horvitz Eric Paek Tim 2007 03 01 Complementary computing policies for transferring callers from dialog systems to human receptionists User Modeling and User Adapted Interaction 17 1 159 182 doi 10 1007 s11257 006 9026 1 ISSN 1573 1391 S2CID 2819237 Kamar Ece Hacker Severin Horvitz Eric 8 June 2018 Combining human and machine intelligence in large scale crowdsourcing PDF Proceeding AAMAS 12 Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems Volume 1 Richland SC International Foundation for Autonomous Agents and Multiagent Systems 1 467 474 ISBN 978 0 9817381 1 6 Wilder Bryan Horvitz Eric Kamar Ece 2020 07 09 Learning to Complement Humans Proceedings of the Twenty Ninth International Joint Conference on Artificial Intelligence 2 1526 1533 doi 10 24963 ijcai 2020 212 ISBN 978 0 9992411 6 5 S2CID 218486980 Horvitz Eric Barry Matthew August 1995 Display of information for time critical decision making PDF Proceeding UAI 95 Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence San Francisco CA Morgan Kaufmann Publishers Inc 296 305 ISBN 1 55860 385 9 Horvitz Eric Heckerman David Nathwani Bharat Fagan Lawrence October 1986 The use of a heuristic problem solving hierarchy to facilitate the explanation of hypothesis directed reasoning PDF Proceedings of Medinfo 27 31 Horvitz Eric Kadie Carl Peak Tim Hovel David March 2003 Models of attention in computing and communication from principles to applications PDF Communications of the ACM New York NY ACM 46 52 59 doi 10 1145 636772 636798 S2CID 2584780 Markhoff John 17 July 2000 Microsoft Sees Software Agent as Way to Avoid Distractions The New York Times Retrieved 3 June 2019 Horvitz Eric Apacible Johnson 2003 11 05 Learning and reasoning about interruption Proceedings of the 5th International Conference on Multimodal Interfaces ICMI 03 New York NY USA Association for Computing Machinery 20 27 doi 10 1145 958432 958440 ISBN 978 1 58113 621 0 S2CID 1183716 Horvitz Eric Koch Paul Apacible Johnson 2004 11 06 BusyBody creating and fielding personalized models of the cost of interruption Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work CSCW 04 New York NY USA Association for Computing Machinery 507 510 doi 10 1145 1031607 1031690 ISBN 978 1 58113 810 8 S2CID 11517148 a b Waldrop M Mitchell 19 February 2008 TR10 Modeling Surprise MIT Technology Review Retrieved 2022 01 11 Horvitz E Breese J Heckerman D Hovel D Rommelse K July 1998 The Lumiere Project Bayesian User Modeling for Inferring the Goals and Needs of Software Users Proceedings of UAI Conference on Uncertainty in Artificial Intelligence 256 265 Lumiere Intelligent User Interface YouTube 2009 08 31 1995 Retrieved 2020 04 02 How the forgetfulness of one of Microsoft s top scientists inspired a killer new feature for Windows 10 Business Insider Australia 2017 02 09 Retrieved 2022 01 11 Information Agents Directions and Futures 2001 YouTube 2020 02 21 2001 Retrieved 2020 04 02 ICMI Sustained Accomplishment Award International Conference on Multimodal Interaction Retrieved 2020 04 02 Bohus D Horvitz E November 2009 Dialog in the Open World Platform and Applications PDF ACM International Conference on Multimodal Interaction Bohus D Horvitz E 2019 Situated Interaction The Handbook of Multimodal Multisensor Interfaces Volume 3 Association for Computing Machinery and Morgan amp Claypool pp 105 143 ISBN 978 1 970001 75 4 Elevating human computer interaction to a new level of sophistication YouTube 2014 04 08 Retrieved 2020 04 02 Bohus D Horvitz E September 2009 Models for multiparty engagement in open world dialog PDF SIGDIAL 09 Proceedings of the SIGDIAL 2009 Conference The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue 225 234 doi 10 3115 1708376 1708409 ISBN 9781932432640 S2CID 2125746 Krause A Horvitz E Kansal A Zhao F April 2008 Toward Community Sensing Proceedings of IPSN 2008 Krause Andreas Horvitz Eric November 2010 A Utility Theoretic Approach to Privacy in Online Services PDF Journal of Artificial Intelligence Research 39 633 662 doi 10 1613 jair 3089 S2CID 1582192 Singla A Horvitz E Kamar E White R W July 2014 Stochastic Privacy PDF AAAI 28 arXiv 1404 5454 Bibcode 2014arXiv1404 5454S doi 10 1609 aaai v28i1 8734 S2CID 14584347 Swimming in Creative Waters The Art of Invention Microsoft Research 2019 05 28 Retrieved 2022 01 13 Keizer Gregg 2007 01 19 Microsoft Predicts The Future With Vista s SuperFetch InformationWeek Retrieved 2022 01 13 Horvitz Eric 1998 11 01 Continual computation policies for utility directed prefetching Proceedings of the Seventh International Conference on Information and Knowledge Management CIKM 98 New York NY USA Association for Computing Machinery 175 184 doi 10 1145 288627 288655 ISBN 978 1 58113 061 4 S2CID 13518550 Horvitz Eric J Lengyel Jed 2013 02 06 Perception Attention and Resources A Decision Theoretic Approach to Graphics Rendering arXiv 1302 1547 cs AI Kolobov Andrey Peres Yuval Lubetzky Eyal Horvitz Eric 2019 07 18 Optimal Freshness Crawl Under Politeness Constraints Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR 19 New York NY USA Association for Computing Machinery 495 504 doi 10 1145 3331184 3331241 ISBN 978 1 4503 6172 9 S2CID 196203203 Burnell Lisa Horvitz Eric 1995 03 01 Structure and chance melding logic and probability for software debugging Communications of the ACM 38 3 31 ff doi 10 1145 203330 203338 ISSN 0001 0782 S2CID 9644536 Hansen Liane 21 March 2009 Meet Laura Your Virtual Personal Assistant NPR Retrieved 16 March 2011 Kaste Martin 11 Jan 2011 The Singularity Humanity s Last Invention NPR Retrieved 14 Feb 2011 Rose Charlie A panel discussion about Artificial Intelligence Archived from the original on 2011 02 13 Retrieved 2011 03 12 Markoff John 10 April 2008 Microsoft Introduces Tool for Avoiding Traffic Jams The New York Times Retrieved 16 March 2011 Markoff John 17 July 2000 Microsoft Sees Software Agent as Way to Avoid Distractions The New York Times Retrieved 16 March 2011 Lohr Steve and Markoff John 24 June 2010 Smarter Than You Think Computers Learn to Listen and Some Talk Back The New York Times Retrieved 12 March 2011 Horvitz Eric 30 November 2016 Reflections on the Status and Future of Artificial Intelligence PDF erichorvitz com Retrieved 3 June 2019 a b Horvitz Eric 7 July 2017 AI people and society Science 357 6346 7 Bibcode 2017Sci 357 7H doi 10 1126 science aao2466 PMID 28684472 AI for Social Good 2016 Keynote AI in Support of People and Society YouTube 2016 06 13 Retrieved 2020 04 20 Horvitz Eric 2016 06 27 Reflections on Safety and Artificial Intelligence PDF Eric Horvitz Retrieved 2020 04 20 a b Dietterich Thomas G Horvitz Eric J October 2015 Rise of Concerns about AI Reflections and Directions PDF Communications of the ACM 58 10 38 40 doi 10 1145 2770869 Conference on Ethics amp AI Keynote Session YouTube 2018 04 09 Retrieved 2020 04 20 Horvitz Eric 2017 03 28 The Long View AI Directions Challenges and Futures YouTube Retrieved 2020 04 20 Keynote Address Eric Horvitz AI Advances Aspirations and Concerns YouTube 2019 11 15 Retrieved 2020 04 20 Horvitz Eric Clyburn Mignon Felten Ed LeBlanc Travis 2021 05 17 Caution ahead Navigating risks to freedoms posed by AI TheHill Retrieved 2022 01 19 Horvitz Eric Mulligan Deirdre 17 July 2015 Data privacy and the greater good PDF Science Vol 349 no 6245 pp 253 254 Retrieved 19 Jan 2022 England Paul Malvar Henrique S Horvitz Eric Stokes Jack W Fournet Cedric Burke Aguero Rebecca Chamayou Amaury Clebsch Sylvan Costa Manuel 2021 07 15 AMP authentication of media via provenance Proceedings of the 12th ACM Multimedia Systems Conference New York NY USA Association for Computing Machinery pp 108 121 doi 10 1145 3458305 3459599 ISBN 978 1 4503 8434 6 S2CID 210859168 retrieved 2022 01 19 Horvitz Eric 2021 02 22 A promising step forward on disinformation Microsoft On the Issues Retrieved 2022 01 19 a b Markoff John 26 July 2009 Scientists Worry Machines May Outsmart Man York Times Siegel Robert 11 January 2011 The Singularity Humanity s Last Invention NPR You Jia 9 January 2015 A 100 year study of artificial intelligence Microsoft Research s Eric Horvitz explains Science a b c d Markoff John 15 December 2014 Study to Examine Effects of Artificial Intelligence The New York Times Retrieved 1 October 2016 One Hundred Year Study of Artificial Intelligence Reflections and Framing Eric Horvitz 2014 Retrieved 1 October 2016 Report Artificial intelligence to transform urban cities Houston Chronicle 1 September 2016 Retrieved 1 October 2016 a b Dussault Joseph 4 September 2016 AI in the real world Tech leaders consider practical issues The Christian Science Monitor Retrieved 1 October 2016 a b Peter Stone et al Artificial Intelligence and Life in 2030 One Hundred Year Study on Artificial Intelligence Report of the 2015 2016 Study Panel Stanford University Stanford CA September 2016 Doc http ai100 stanford edu 2016 report Accessed October 1 2016 Knight Will 1 September 2016 Artificial intelligence wants to be your bro not your foe MIT Technology Review Retrieved 1 October 2016 Stacey Kevin 16 Sep 2021 New Report Assesses Progress and Risks of Artificial Intelligence Stanford University HAI News and Announcements Retrieved 2022 01 20 McKendrick Joe 18 Sep 2021 Artificial intelligence success is tied to ability to augment not just automate ZDNet Retrieved 2022 01 20 Report on Algorithmic Risk Assessment Tools in the U S Criminal Justice System The Partnership on AI 2019 04 23 Retrieved 2020 04 24 Bringing Facial Recognition Systems To Light The Partnership on AI 2020 02 18 Retrieved 2020 04 24 AI Labor and the Economy Case Study Compendium The Partnership on AI 2019 04 30 Retrieved 2020 04 24 Introducing SafeLife Safety Benchmarks for Reinforcement Learning The Partnership on AI 2019 12 04 Retrieved 2020 04 24 AI and Media Integrity Steering Committee The Partnership on AI 2019 12 05 Retrieved 2020 04 24 About ML The Partnership on AI Retrieved 2020 04 24 Nadella Satya 2018 03 29 Satya Nadella email to employees Embracing our future Intelligent Cloud and Intelligent Edge Microsoft Stories Retrieved 3 June 2019 Microsoft TechTalk AI and Ethics YouTube 2019 07 17 Retrieved 2020 04 15 Boyle Alan 9 April 2018 Microsoft is turning down some sales over AI ethics top researcher Eric Horvitz says GeekWire Retrieved 3 June 2019 Conference on Ethics amp AI Keynote Session YouTube Carnegie Mellon University 9 April 2018 Retrieved 3 June 2019 Responsible AI principles from Microsoft Microsoft Artificial Intelligence Retrieved 2020 04 15 External links EditProfile page at Microsoft Research One Hundred Year Study on Artificial Intelligence AI100 Audio Challenge Problems for AI TEDx Austin Making Friends with Artificial Intelligence NPR Science Friday Improving Healthcare One Search at a Time BBC Artificial intelligence How to turn Siri into Samantha Keynote address Conference on Knowledge Discovery and Data Mining SIGKDD August 2014 Videolectures net Retrieved from https en wikipedia org w index php title Eric Horvitz amp oldid 1125097066 One Hundred Year Study on Artificial Intelligence, wikipedia, wiki, book, books, library,

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