algorithmic fairness

Our 80th episode with a summary and discussion of last week's big AI news!

Feel free to email us your thoughts or feedback at contact@lastweekinai.com

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Check our text version of this news roundup over at lastweekin.ai.

Outline:

(01:10) Procedural storytelling is exploding the possibilities of video game narratives  (04:16) Twitch Introduces Machine Learning Feature to Detect Suspicious Users (07:28) DeepMind’s AI helps untangle the mathematics of knots (11:06) Yale researchers combat biases in machine learning algorithms (13:40) Ex-Googler Timnit Gebru Starts Her Own AI Research Center (17:20) US rejects calls for regulating or banning ‘killer robots (19:50) Who, exactly, authored this AI-generated spin on Alfred Hitchcock’s Vertigo?  (25:00) Outro

Music: Deliberate Thought, Inspired by Kevin MacLeod (incompetech.com)

Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, bias, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning theory or theoretical foundations of machine learning, game theory, algorithmic trading, quantitative finance, computational social science, and more. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon. This episode is sponsored by Pessimists Archive podcast. Here's the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode): 00:00 - Introduction 02:45 - Influence from literature and journalism 07:39 - Are most people good? 13:05 - Ethical algorithm 24:28 - Algorithmic fairness of groups vs individuals 33:36 - Fairness tradeoffs 46:29 - Facebook, social networks, and algorithmic ethics 58:04 - Machine learning 58:05 - Machine learning 59:19 - Algorithm that determines what is fair 1:01:25 - Computer scientists should think about ethics 1:05:59 - Algorithmic privacy 1:11:50 - Differential privacy 1:19:10 - Privacy by misinformation 1:22:31 - Privacy of data in society 1:27:49 - Game theory 1:29:40 - Nash equilibrium 1:30:35 - Machine learning and game theory 1:34:52 - Mutual assured destruction 1:36:56 - Algorithmic trading 1:44:09 - Pivotal moment in graduate school