Category: Education & Training

Chris Olah on What the Hell is Going on Inside Neural Networks

Black Box Algorithms, Data Interpretability, Google, Neural Networks

Author: Robert Wiblin, Keiran Harris, Chris Olah; Publisher: 80,000 Hours; Publication Year: 2021. The following podcast episode features Chris Olah, a researcher at Google focused on data interpretability, specifically as it relates to neural networks…
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 >>
Can Data Science Change Human Resources?

Decision-Making, Human Resources

Author: Peter Cappelli, Prasand Tambe, Valery Yakubovich; Publisher: Research Gate; Publication Year: 2020. The following article discusses how the need for better and more objective decisions is evident. It is also clear that the realities…
read more >>
The Ethics of Algorithms

Data Curation, Data Usage, Verifiable Data

Author: Paula Derrow; Publisher: Rutgers Magazine; Publication Year: 2022. The following article provides the idea that we should be more focused on “data curation.” This is the idea that more care should be given to…
read more >>
Fighting Bias in AI With Ethics Training

Artificial Intelligence, Biased AI, Data Collection, Ethical Algorithms, Google, Microsoft

Author: Paul Mah; Publisher: CDO Trends; Publication Year: 2022. The following article describes how according to a recent study, over $77.5 billion was invested in artificial intelligence (AI) in 2021. But with the growth of…
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 >>
Ethics in The Metaverse: Why Data Concerns Needs to be Resolved Now, Not Later

Data Accountability, Data Compliance, Data Education, Metaverse

Author: Ozair Merav; Publisher: Nasdaq; Publication Year: 2018. The following article discusses multiple data concerns that should be watched for in the Metaverse and should possibly be fixed before it becomes mainstream. The 4 biggest…
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 >>