Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Schedule: Law, ethics and governance (including AI safety) sessions

11:05am–11:45am Tuesday, September 19, 2017
Implementing AI
Location: Franciscan AB
Susan Etlinger (Altimeter Group)
Average rating: ***..
(3.60, 5 ratings)
Drawing on her report The Conversational Business: How Chatbots Will Reshape Digital Experiences, Susan Etlinger shares use cases, emerging best practices, and design and CX principles from organizations building consumer-facing chatbots. Read more.
2:35pm–3:15pm Tuesday, September 19, 2017
Impact on business and society
Location: Franciscan AB
Astrid Chow (IBM Watson Health), Amy Chenault (Insulet), Joel Wu (Children's Minnesota)
With great cognitive computing comes great responsibility. As AI becomes ubiquitous in our society, it's critical to discuss the ethical concerns of AI and ask the tough questions. This multidisciplinary roundtable opens a dialogue on how bioethical principles might be applied to everyday design practice within healthcare. Read more.
4:50pm–5:30pm Tuesday, September 19, 2017
Impact on business and society
Location: Franciscan AB
Daniel Guillory (Autodesk), Matthew Scherer (Littler Mendelson, PC )
Average rating: *****
(5.00, 2 ratings)
Diversity has many dimensions relevant to AI development. If designers don't consider and integrate diversity from the very beginning, they risk creating systems that are irrelevant to excluded groups and worse, make excluded groups irrelevant. Daniel Guillory and Matthew Scherer discuss the importance of ensuring diversity and inclusion when developing AI and share tips on how to do so. Read more.
2:35pm–3:15pm Wednesday, September 20, 2017
Implementing AI
Location: Franciscan AB
Nate Soares (MIRI)
The field of artificial intelligence has made major strides in recent years, but there is a growing movement to consider the implications of machines that can rival humans in general problem-solving abilities. Nate Soares outlines the underresearched fundamental technical obstacles to building AI that can reliably learn to be "aligned" with human values. Read more.