Ethics in Artificial Intelligence by Yammer Dir. of Product Management
Channel: Product School
Date: 2017-10-05

Product Management event in San Francisco about product management ethics in artificial intelligence. 

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From maximizing the crave-ability of food additives to notification addiction, Product Managers have a profound impact on society. In the not too distant future, a number of those Product decisions will be delivered by artificial intelligence. In this talk, Drew Dillon discussed ethical lessons from the history of Product Management and how we can learn from them to build ethical AI. 

Drew also discussed the incentives of Product Management, when and how they go wrong, and what data quality, biases, and potential impacts mean.

Drew Dillon has spent the past decade in various Product roles, most recently VP of Product, Engineering, and BD at AnyPerk/Fond. Among other things, Drew delivered countless mobile releases, new products, and machine learning solutions. Prior to AnyPerk, Drew was employee 60 and Director of Product at Yammer, focusing on user growth, engagement, and metrics. He's an avid tweeter and blogger and passionate about emerging technology and its impact on society. He holds a Bachelor’s Degree in Computer Science. 

Chapter 1 0:25 Speaker introduction
Chapter 2 2:00 Ethics in A.I.
Chapter 3 5:20 The Bliss Point
Chapter 4 8:50 Value beyond creating stakeholder value
Chapter 5 9:30 Nir Eyal's Hook model
Chapter 6 12:50 Why ethics is complicated in A.I.?
Chapter 7 15:00 Interface isolation
Chapter 8 19:30 Tay A.I. 
Chapter 9 21:50 Biased data
Chapter 10 28:25 HR A.I.
Chapter 11 32:25 The Gene by Seodhartha Mukherjee
Chapter 12 40:25 The Balck Swan by Nassim Nicholas Taleb
Chapter 13 46:15 Program feedback & experimentation
Chapter 14 59:50 Questions from the audience


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