Category: Video
-
Can Algorithms Reduce Inequality?
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…
-
Why Develop a Data Science Code of Ethics?
Author: N/A; Publisher: Inside Bloomberg; Publication Year: 2018. The following video shows clips interviewing various data scientists regarding ethical codes among people in their profession. Because data science can impact many people’s lives, people must…
-
What is AI Ethics?
AI Lifecycle, Artificial Intelligence, Data Privacy, Explainability, Fairness, IBM, Robustness, TransparencyAuthor: Phaedra Boinodiris; Publisher: IBM Technology; Publication Year: 2021. The following article discusses how artificial intelligence (AI) is making decisions that directly impact all of us. People assume that because AI is a machine, the…
-
The Real Reason to be Afraid of Artificial Intelligence
Accountability, Algorithms, Artificial Intelligence, Biased Data, COMPAS Program, Machine Learning, Model Training, Robotics, TransparencyAuthor: Peter Haas; Publisher: TEDx Talks; Publication Year: 2017. The following article features Peter Haas, who actually works in robotics at Brown University, who is afraid of robots. The example of how to train a…
-
Introduction to Data Ethics
Author: N/A; Publisher: Odyssey Learning Project; Publication Year: 2018. The following video does an excellent job of breaking down the extensive and complicated challenge of data ethics into its most basic and essential parts. First,…
-
Privacy in the Digital Age
Author: Nicholas Martino; Publisher: TEDx Talks; Publication Year: 2016. The following video features Martino who addresses the issues of privacy and individual rights in the era of digital age that everyone should treat seriously. It…
-
3 Ways to Spot a Bad Statistic
Author: Mona Chalabi; Publisher: TED; Publication Year: N/A. The following article warns us of the dangers of misleading statistics and the lack of accountability and incentives that private companies have to produce reliable stats. It…