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Wikipedia

Rashida Richardson

Rashida Richardson is a visiting scholar at Rutgers Law School and the Rutgers Institute for Information Policy and the Law[1] and an attorney advisor to the Federal Trade Commission. She is also an assistant professor of law and political science at the Northeastern University School of Law and the Northeastern University Department of Political Science in the College of Social Sciences and Humanities.

Rashida Richardson
Richardson in 2018
Occupation(s)Scholar, assistant professor, attorney
Academic background
EducationWesleyan University (BA)
Alma materNortheastern University School of Law (JD)
Academic work
DisciplineLaw and technology policy
Websitehttps://www.rashidarichardson.com/

Richardson previously was the director of policy research at the AI Now Institute,[2] where she designed, implemented and coordinated research strategies and initiatives on law, policy, and civil rights.[3] During her career as an attorney, researcher, and scholar, Richardson has engaged in science communication and public advocacy.

Education edit

Richardson earned a BA with Honors from the College of Social Studies at Wesleyan University, and a JD from Northeastern University School of Law. She was an intern with Judge Charles R. Breyer of the US District Court for the Northern District of California, the law firm of Cowan, DeBeats, Abraham & Sheppard, and the Legal Aid Society.[4]

Career edit

Before joining The AI Now Institute, Richardson served as Legislative Counsel at the New York Civil Liberties Union[5][6] and had worked as a staff attorney for The Center for HIV Law and Policy. She previously worked at Facebook and HIP Investor in San Francisco.

After her senior fellowship for digital innovation and democracy at the German Marshall Fund, she became a senior policy adviser for data and democracy at the Office of Science and Technology Policy in July 2021.[7][8] She also joined the faculty at Northeastern Law as an assistant professor of law and political science with the School of Law and the Department of Political Science in the College of Social Sciences and Humanities in July 2021.[9][8] In 2022, she began work as an attorney advisor for the Federal Trade Commission.[10]

In March 2020, she joined the advisory board of the Electronic Privacy Information Center (EPIC).[11] In March 2021, she joined the board of Lacuna Technologies to provide guidance on equity and data privacy issues.[12]

Advocacy edit

In 2018, as the director of policy research for the AI Now Institute, Richardson spoke at length with The Christian Science Monitor about the impacts and challenges of artificial intelligence, including a lack of transparency with the public about how the technology is used and a lack of technical expertise by municipalities in how the technology works or whether the results are biased or flawed.[13] Richardson discussed similar concerns about facial recognition technology with NBC News in 2018[14] and CBS News in 2020.[15] In 2019, Richardson spoke with the Detroit Free Press about the increasing use of artificial intelligence systems by governments across the United States,[16] and extended her warnings to Canada when speaking with The Canadian Press.[17] In 2019, Richardson spoke with Reuters about ethics and artificial intelligence, and expressed concerns about the priorities of Amazon.com, Facebook, Microsoft and others.[18]

In 2019, Richardson testified before the U.S. Senate Subcommittee on Communications, Technology, Innovation, and the Internet in a hearing titled "Optimizing for Engagement: Understanding the Use of Persuasive Technology on Internet Platforms."[19][20] In advance, she told Politico, "Government intervention is urgently needed to ensure consumers - particularly women, gender minorities and communities of color - are protected from discrimination and bias at the hands of AI systems."[21]

In 2019, Karen Hao at MIT Technology Review profiled a study led by Richardson at the AI Now Institute, that according to Hao, "has significant implications for the efficacy of predictive policing and other algorithms used in the criminal justice system."[22] In 2020, Richardson spoke with Hao about the use of predictive analytics applied to child welfare.[23] Richardson also spoke with Will Douglas Heaven at MIT Technology Review for articles published in 2020 and 2021 about algorithmic bias problems in predictive policing programs, including her perspective that "political will" is needed to address the issues.[24][25]

In 2020, as a visiting scholar at Rutgers Law School and senior fellow in the Digital Innovation and Democracy Initiative at the German Marshall Fund, Richardson spoke with The New York Times about resistance from American police departments in sharing details about technologies used, and the limited regulation of the technology, stating, "The only thing that can improve this black box of predictive policing is the proliferation of transparency laws."[26][27]

In 2020, Richardson was featured in the documentary film "The Social Dilemma," directed by Jeff Orlowski and distributed by Netflix, that focuses on social media and algorithmic manipulation.[28][29]

In 2021, she spoke with MIT Technology Review about algorithmic bias and issues related to predictive policing technology. Richardson explained both arrest data and victim reports can skew results, noting that with regard to victim reports, "if you are in a community with a historically corrupt or notoriously racially biased police department, that will affect how and whether people report crime."[30]

Selected works edit

  • Richardson, R., & Cahn, A.F. (February 5, 2021). "States are failing on big tech and privacy — Biden must take the lead." The Hill.[27]
  • Richardson, R., & Kak, A. (September 11, 2020). "It’s time for a reckoning about this foundational piece of police technology." Slate.[31]
  • Kak, A., & Richardson, R. (May 1, 2020). "Artificial intelligence policies must focus on impact and accountability". Centre for International Governance Innovation.[32]
  • Richardson, R. (December 15, 2019). "Win the war against algorithms: Automated Decision Systems are taking over far too much of government". New York Daily News.[33]
  • Richardson, R. (ed.) (December 4, 2019). "Confronting black boxes: A shadow report of the New York City Automated Decision System Task Force". New York: AI Now Institute.[34]
  • Richardson, R., Schultz, J. M., & Southerland, V. M. (2019). Litigating algorithms 2019 US report: New challenges to government use of algorithmic decision systems. New York: AI Now Institute.[35]
  • Richardson, R., Schultz, J. M., & Crawford, K. (2019). Dirty data, bad predictions: How civil rights violations impact police data, predictive policing systems, and justice. New York University Law Review.[36]
  • Richardson, R. (December 12, 2017). New York City Takes on Algorithmic Discrimination. NYCLU.[37]

References edit

  1. ^ "Rutgers Law Welcomes Visiting Scholar Rashida Richardson". Rutgers Law. 2020-08-07. Retrieved 2020-12-23.
  2. ^ . Center for Critical Race and Digital Studies. Archived from the original on 29 January 2022. Retrieved 7 February 2021.
  3. ^ "Rashida Richardson | Berkman Klein Center". cyber.harvard.edu. 2020-03-24. Retrieved 2020-12-23.
  4. ^ "CHLP welcomes new staffers Rashida Richardson and Roohi Choudhry". The Center for HIV Law and Policy. 11 July 2012. Retrieved 7 February 2021.
  5. ^ "Rashida Richardson". New York Civil Liberties Union. 2020-10-21. Retrieved 2020-12-23.
  6. ^ Chuck, Elizabeth (July 28, 2017). "'Textalyzer' May Bust Distracted Drivers — But at What Cost to Privacy?". NBC News. Retrieved 7 February 2021.
  7. ^ Lizza, Ryan; Bade, Rachael; Palmeri, Tara; Daniels, Eugene (July 20, 2021). "POLITICO Playbook: RIP BIF?". Retrieved 4 July 2022.
  8. ^ a b Johnson, Khari (December 23, 2021). "A Move for 'Algorithmic Reparation' Calls for Racial Justice in AI". Wired. Retrieved 4 July 2022.
  9. ^ "Rashida Richardson '11 Joins Northeastern as Assistant Professor of Law and Political Science". Northeastern University School of Law. January 15, 2021. Retrieved 6 February 2021.
  10. ^ "Combatting Online Harms Through Innovation" (PDF). ftc.gov. Federal Trade Commission. June 16, 2022. pp. 2, 44, 75–77. Retrieved 4 July 2022.
  11. ^ "EPIC ANNOUNCES NEW ADVISORY BOARD MEMBERS". States News Service. March 13, 2020. Retrieved February 5, 2021.
  12. ^ Melendez, Steven (March 29, 2021). "In a rare move, this transportation startup is adding equity experts to its board". Fast Company. Retrieved 4 July 2022.
  13. ^ Roepe, Lisa Rabasca (October 3, 2018). "Think computers are less biased than people? Think again". The Christian Science Monitor. Retrieved 8 February 2021.
  14. ^ Schuppe, John (July 30, 2018). "Facial recognition gives police a powerful new tracking tool. It's also raising alarms". NBC News. Retrieved 7 February 2021.
  15. ^ Ivanova, Irina (June 12, 2020). "Why face-recognition technology has a bias problem". CBS News. Retrieved 7 February 2021.
  16. ^ Egan, Paul (January 9, 2020). "State of Michigan's mistake led to man filing bankruptcy". Detroit Free Press. Retrieved 8 February 2021.
  17. ^ Reynolds, hris (May 19, 2019). "Canada lacks laws to tackle problems posed by artificial intelligence: Experts". Global News. The Canadian Press. Retrieved 9 February 2021.
  18. ^ Dastin, Jeffrey; Dave, Paresh (March 27, 2019). "Ethical question takes center stage at Silicon Valley summit on artificial intelligence". Reuters. Retrieved 7 February 2021.
  19. ^ "Optimizing for Engagement: Understanding the Use of Persuasive Technology on Internet Platforms". U.S. Senate Committee on Commerce, Science, and Transportation. 25 June 2019. Retrieved 9 February 2021.
  20. ^ De La Garza, Alejandro (August 23, 2019). "Meet the Researchers Working to Make Sure Artificial Intelligence Is a Force for Good". TIME. Retrieved 9 February 2021.
  21. ^ Levine, Alexandra S. (June 25, 2019). "Senate Commerce takes on 'persuasive' tech". Politico. Retrieved 9 February 2021.
  22. ^ Hao, Karen (February 13, 2019). "Police across the US are training crime-predicting AIs on falsified data". MIT Technology Review. Retrieved 9 February 2021.
  23. ^ Hao, Karen (April 2, 2020). "AI can't predict how a child's life will turn out even with a ton of data". MIT Technology Review. Retrieved 8 February 2021.
  24. ^ Heaven, Will Douglas (February 5, 2021). "Predictive policing is still racist—whatever data it uses". MIT Technology Review.
  25. ^ Heaven, Will Douglas (July 17, 2020). "Predictive policing algorithms are racist. They need to be dismantled". MIT Technology Review. Retrieved 8 February 2021.
  26. ^ Cumming-Bruce, Nick (December 7, 2020). "U.N. Panel: Technology in Policing Can Reinforce Racial Bias". The New York Times. Retrieved 7 February 2021.
  27. ^ a b Richardson, Rashida; Cahn, Albert Fox (February 5, 2021). "States are failing on big tech and privacy — Biden must take the lead". The Hill. Retrieved 7 February 2021.
  28. ^ Hersko, Tyler (August 27, 2020). "'The Social Dilemma' Trailer: Netflix Doc Details How Social Media Manipulates Its Users". IndieWire. Retrieved 7 February 2021.
  29. ^ Shanfeld, Ethan. "The Team Behind 'The Social Dilemma' Reveals How to Resist Big Tech". Variety. Retrieved 4 July 2022.
  30. ^ Heaven, Will Douglas (February 5, 2021). "Predictive policing is still racist—whatever data it uses". MIT Technology Review. Retrieved 12 July 2022.
  31. ^ Richardson, Rashida; Kak, Amba (September 11, 2020). "It's Time for a Reckoning About This Foundational Piece of Police Technology". Slate. Retrieved 8 February 2021.
  32. ^ Kak, Amba; Richardson, Rashida (May 1, 2020). "Artificial Intelligence Policies Must Focus on Impact and Accountability". Centre for International Governance Innovation.
  33. ^ Richardson, Rashida (December 15, 2019). "Win the war against algorithms: Automated Decision Systems are taking over far too much of government". New York Daily News. Retrieved 8 February 2021.
  34. ^ Richardson, Rashida, ed. (December 4, 2019). "Confronting black boxes: A shadow report of the New York City Automated Decision System Task Force" (PDF). Criticalracedigitalstudies.com. AI Now Institute. Retrieved 8 February 2021.
  35. ^ Richardson, Rashida; Schultz, Jason M.; Southerland, Vincent M (September 2019). "Litigating algorithms 2019 US report: New challenges to government use of algorithmic decision systems" (PDF). AI NOW Institute. Retrieved 7 February 2021.
  36. ^ Richardson, Rashida; Schultz, Jason M.; Crawford, Kate (May 2019). "Dirty data, bad predictions: How civil rights violations impact police data, predictive policing systems, and justice" (PDF). New York University Law Review.
  37. ^ Richardson, R. (December 12, 2017). "New York City Takes on Algorithmic Discrimination". NYCLU. Retrieved 8 February 2021.

External links edit

  • Official website
  • Rashida Richardson publications indexed by Google Scholar

rashida, richardson, visiting, scholar, rutgers, school, rutgers, institute, information, policy, attorney, advisor, federal, trade, commission, also, assistant, professor, political, science, northeastern, university, school, northeastern, university, departm. Rashida Richardson is a visiting scholar at Rutgers Law School and the Rutgers Institute for Information Policy and the Law 1 and an attorney advisor to the Federal Trade Commission She is also an assistant professor of law and political science at the Northeastern University School of Law and the Northeastern University Department of Political Science in the College of Social Sciences and Humanities Rashida RichardsonRichardson in 2018Occupation s Scholar assistant professor attorneyAcademic backgroundEducationWesleyan University BA Alma materNortheastern University School of Law JD Academic workDisciplineLaw and technology policyWebsitehttps www rashidarichardson com Richardson previously was the director of policy research at the AI Now Institute 2 where she designed implemented and coordinated research strategies and initiatives on law policy and civil rights 3 During her career as an attorney researcher and scholar Richardson has engaged in science communication and public advocacy Contents 1 Education 2 Career 3 Advocacy 4 Selected works 5 References 6 External linksEducation editRichardson earned a BA with Honors from the College of Social Studies at Wesleyan University and a JD from Northeastern University School of Law She was an intern with Judge Charles R Breyer of the US District Court for the Northern District of California the law firm of Cowan DeBeats Abraham amp Sheppard and the Legal Aid Society 4 Career editBefore joining The AI Now Institute Richardson served as Legislative Counsel at the New York Civil Liberties Union 5 6 and had worked as a staff attorney for The Center for HIV Law and Policy She previously worked at Facebook and HIP Investor in San Francisco After her senior fellowship for digital innovation and democracy at the German Marshall Fund she became a senior policy adviser for data and democracy at the Office of Science and Technology Policy in July 2021 7 8 She also joined the faculty at Northeastern Law as an assistant professor of law and political science with the School of Law and the Department of Political Science in the College of Social Sciences and Humanities in July 2021 9 8 In 2022 she began work as an attorney advisor for the Federal Trade Commission 10 In March 2020 she joined the advisory board of the Electronic Privacy Information Center EPIC 11 In March 2021 she joined the board of Lacuna Technologies to provide guidance on equity and data privacy issues 12 Advocacy editIn 2018 as the director of policy research for the AI Now Institute Richardson spoke at length with The Christian Science Monitor about the impacts and challenges of artificial intelligence including a lack of transparency with the public about how the technology is used and a lack of technical expertise by municipalities in how the technology works or whether the results are biased or flawed 13 Richardson discussed similar concerns about facial recognition technology with NBC News in 2018 14 and CBS News in 2020 15 In 2019 Richardson spoke with the Detroit Free Press about the increasing use of artificial intelligence systems by governments across the United States 16 and extended her warnings to Canada when speaking with The Canadian Press 17 In 2019 Richardson spoke with Reuters about ethics and artificial intelligence and expressed concerns about the priorities of Amazon com Facebook Microsoft and others 18 In 2019 Richardson testified before the U S Senate Subcommittee on Communications Technology Innovation and the Internet in a hearing titled Optimizing for Engagement Understanding the Use of Persuasive Technology on Internet Platforms 19 20 In advance she told Politico Government intervention is urgently needed to ensure consumers particularly women gender minorities and communities of color are protected from discrimination and bias at the hands of AI systems 21 In 2019 Karen Hao at MIT Technology Review profiled a study led by Richardson at the AI Now Institute that according to Hao has significant implications for the efficacy of predictive policing and other algorithms used in the criminal justice system 22 In 2020 Richardson spoke with Hao about the use of predictive analytics applied to child welfare 23 Richardson also spoke with Will Douglas Heaven at MIT Technology Review for articles published in 2020 and 2021 about algorithmic bias problems in predictive policing programs including her perspective that political will is needed to address the issues 24 25 In 2020 as a visiting scholar at Rutgers Law School and senior fellow in the Digital Innovation and Democracy Initiative at the German Marshall Fund Richardson spoke with The New York Times about resistance from American police departments in sharing details about technologies used and the limited regulation of the technology stating The only thing that can improve this black box of predictive policing is the proliferation of transparency laws 26 27 In 2020 Richardson was featured in the documentary film The Social Dilemma directed by Jeff Orlowski and distributed by Netflix that focuses on social media and algorithmic manipulation 28 29 In 2021 she spoke with MIT Technology Review about algorithmic bias and issues related to predictive policing technology Richardson explained both arrest data and victim reports can skew results noting that with regard to victim reports if you are in a community with a historically corrupt or notoriously racially biased police department that will affect how and whether people report crime 30 Selected works editRichardson R amp Cahn A F February 5 2021 States are failing on big tech and privacy Biden must take the lead The Hill 27 Richardson R amp Kak A September 11 2020 It s time for a reckoning about this foundational piece of police technology Slate 31 Kak A amp Richardson R May 1 2020 Artificial intelligence policies must focus on impact and accountability Centre for International Governance Innovation 32 Richardson R December 15 2019 Win the war against algorithms Automated Decision Systems are taking over far too much of government New York Daily News 33 Richardson R ed December 4 2019 Confronting black boxes A shadow report of the New York City Automated Decision System Task Force New York AI Now Institute 34 Richardson R Schultz J M amp Southerland V M 2019 Litigating algorithms 2019 US report New challenges to government use of algorithmic decision systems New York AI Now Institute 35 Richardson R Schultz J M amp Crawford K 2019 Dirty data bad predictions How civil rights violations impact police data predictive policing systems and justice New York University Law Review 36 Richardson R December 12 2017 New York City Takes on Algorithmic Discrimination NYCLU 37 References edit Rutgers Law Welcomes Visiting Scholar Rashida Richardson Rutgers Law 2020 08 07 Retrieved 2020 12 23 Rashida Richardson Center for Critical Race and Digital Studies Archived from the original on 29 January 2022 Retrieved 7 February 2021 Rashida Richardson Berkman Klein Center cyber harvard edu 2020 03 24 Retrieved 2020 12 23 CHLP welcomes new staffers Rashida Richardson and Roohi Choudhry The Center for HIV Law and Policy 11 July 2012 Retrieved 7 February 2021 Rashida Richardson New York Civil Liberties Union 2020 10 21 Retrieved 2020 12 23 Chuck Elizabeth July 28 2017 Textalyzer May Bust Distracted Drivers But at What Cost to Privacy NBC News Retrieved 7 February 2021 Lizza Ryan Bade Rachael Palmeri Tara Daniels Eugene July 20 2021 POLITICO Playbook RIP BIF Retrieved 4 July 2022 a b Johnson Khari December 23 2021 A Move for Algorithmic Reparation Calls for Racial Justice in AI Wired Retrieved 4 July 2022 Rashida Richardson 11 Joins Northeastern as Assistant Professor of Law and Political Science Northeastern University School of Law January 15 2021 Retrieved 6 February 2021 Combatting Online Harms Through Innovation PDF ftc gov Federal Trade Commission June 16 2022 pp 2 44 75 77 Retrieved 4 July 2022 EPIC ANNOUNCES NEW ADVISORY BOARD MEMBERS States News Service March 13 2020 Retrieved February 5 2021 Melendez Steven March 29 2021 In a rare move this transportation startup is adding equity experts to its board Fast Company Retrieved 4 July 2022 Roepe Lisa Rabasca October 3 2018 Think computers are less biased than people Think again The Christian Science Monitor Retrieved 8 February 2021 Schuppe John July 30 2018 Facial recognition gives police a powerful new tracking tool It s also raising alarms NBC News Retrieved 7 February 2021 Ivanova Irina June 12 2020 Why face recognition technology has a bias problem CBS News Retrieved 7 February 2021 Egan Paul January 9 2020 State of Michigan s mistake led to man filing bankruptcy Detroit Free Press Retrieved 8 February 2021 Reynolds hris May 19 2019 Canada lacks laws to tackle problems posed by artificial intelligence Experts Global News The Canadian Press Retrieved 9 February 2021 Dastin Jeffrey Dave Paresh March 27 2019 Ethical question takes center stage at Silicon Valley summit on artificial intelligence Reuters Retrieved 7 February 2021 Optimizing for Engagement Understanding the Use of Persuasive Technology on Internet Platforms U S Senate Committee on Commerce Science and Transportation 25 June 2019 Retrieved 9 February 2021 De La Garza Alejandro August 23 2019 Meet the Researchers Working to Make Sure Artificial Intelligence Is a Force for Good TIME Retrieved 9 February 2021 Levine Alexandra S June 25 2019 Senate Commerce takes on persuasive tech Politico Retrieved 9 February 2021 Hao Karen February 13 2019 Police across the US are training crime predicting AIs on falsified data MIT Technology Review Retrieved 9 February 2021 Hao Karen April 2 2020 AI can t predict how a child s life will turn out even with a ton of data MIT Technology Review Retrieved 8 February 2021 Heaven Will Douglas February 5 2021 Predictive policing is still racist whatever data it uses MIT Technology Review Heaven Will Douglas July 17 2020 Predictive policing algorithms are racist They need to be dismantled MIT Technology Review Retrieved 8 February 2021 Cumming Bruce Nick December 7 2020 U N Panel Technology in Policing Can Reinforce Racial Bias The New York Times Retrieved 7 February 2021 a b Richardson Rashida Cahn Albert Fox February 5 2021 States are failing on big tech and privacy Biden must take the lead The Hill Retrieved 7 February 2021 Hersko Tyler August 27 2020 The Social Dilemma Trailer Netflix Doc Details How Social Media Manipulates Its Users IndieWire Retrieved 7 February 2021 Shanfeld Ethan The Team Behind The Social Dilemma Reveals How to Resist Big Tech Variety Retrieved 4 July 2022 Heaven Will Douglas February 5 2021 Predictive policing is still racist whatever data it uses MIT Technology Review Retrieved 12 July 2022 Richardson Rashida Kak Amba September 11 2020 It s Time for a Reckoning About This Foundational Piece of Police Technology Slate Retrieved 8 February 2021 Kak Amba Richardson Rashida May 1 2020 Artificial Intelligence Policies Must Focus on Impact and Accountability Centre for International Governance Innovation Richardson Rashida December 15 2019 Win the war against algorithms Automated Decision Systems are taking over far too much of government New York Daily News Retrieved 8 February 2021 Richardson Rashida ed December 4 2019 Confronting black boxes A shadow report of the New York City Automated Decision System Task Force PDF Criticalracedigitalstudies com AI Now Institute Retrieved 8 February 2021 Richardson Rashida Schultz Jason M Southerland Vincent M September 2019 Litigating algorithms 2019 US report New challenges to government use of algorithmic decision systems PDF AI NOW Institute Retrieved 7 February 2021 Richardson Rashida Schultz Jason M Crawford Kate May 2019 Dirty data bad predictions How civil rights violations impact police data predictive policing systems and justice PDF New York University Law Review Richardson R December 12 2017 New York City Takes on Algorithmic Discrimination NYCLU Retrieved 8 February 2021 External links editOfficial website Rashida Richardson publications indexed by Google Scholar Retrieved from https en wikipedia org w index php title Rashida Richardson amp oldid 1213558306, wikipedia, wiki, book, books, library,

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