Category: Legal & Policy

A Practical Guide to Building Ethical AI

AI Ethical Risk Framework, AI Ethics Program, Artificial Intelligence, Data Governance, Organizational Awareness

Author: Reid Blackman; Publisher: The Harvard Business Review; Publication Year: 2020. The following article describes how failing to account for ethical issues in artificial intelligence (AI) can lead to reputational, regulatory, and legal risks for…
read more >>
How does structural racism impact on data and AI?

Artificial Intelligence, Data Collection, Data Divide, Discriminatory Practices, Racism

Author: Reema Patel, Octavia Reeve, Andrew Strait; Publisher: The Ada Lovelace Institute; Publication Year: 2021. The following article talks about the “data divide” that exists between those who have access to artificial intelligence (AI) and…
read more >>
Can Algorithms Reduce Inequality?

Algorithms, Artificial Intelligence, Collaboration, Inequality, Policymakers

Author: Rediet Abebe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms can be designed to reduce inequality by bringing in diverse groups of stakeholders. Collaboration between policymakers and algorithm designers can improve…
read more >>
3 Questions: Designing Software for Research Ethics

Bartleby, Consent, Data Collection, Google, Massachusetts Institute of Technology, Meta, Regulations, Social Media

Author: Rachel Gordon; Publisher: MIT News; Publication Year: 2022. The following article features the author interviewing Jonathan Zong, a computer scientist Ph.D. from the Massachusetts Institute of Technology (MIT), also the creator of the app…
read more >>
The Importance of Data Ethics in the Digital Age

Consumer Acts, Data Collection, Regulation

Author: Prakash Mishra; Publisher: NTT Data; Publication Year: 2020. The following article focuses less on what data scientists are doing on a daily basis and instead talks about regulation and how data professionals can push…
read more >>
Seven Legal Questions for Data Scientists

Agency, Artificial Intelligence, Fairness, Negligence, Security, Third-Party, Transparency

Author: Patrick Hall, Ayoub Ouederni; Publisher: O’Reilly; Publication Year: 2021. The following article poses 7 legal questions that data scientists should address before they deploy artificial intelligence (AI). Answering these questions should help you better…
read more >>
My Data and Design Ethics Manifesto

Agnostic Innocuousness, Artificial Intelligence, Bad Algorithms, Facebook Russian Election Scandal, Human Bias, Malicious Actors, PageRank Algorithm

Author: Ovetta Sampson; Publisher: Medium; Publication Year: 2018. The following article discusses how bad algorithms compounded with bad actors have caused much technological harm over the past few years. The Facebook Russian Election scandal went…
read more >>
How Census Data Put Trans Children at Risk

Census Data, Child Abuse, Criminalization, Demographic Data, Gender Identity, LGBTQIA+

Author: Os Keyes, Abraham D. Flaxman; Publisher: Scientific American; Publication Year: 2022. The following article discusses an overlooked drawback of de-anonymizing Census data, in that transgender individuals living in hostile environments may be criminalized. This…
read more >>
Eight Best Books on AI Ethics and Bias

AI Bias, AI Ethics

Author: Nivash Jeevanandam; Publisher: India AI; Publication Year: 2022. The following article provides a list and brief summary of eight books that address AI ethics and bias…
read more >>