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

Why AI needs human-centered design

James Guszcza (Deloitte Consulting)
4:50pm–5:30pm Wednesday, September 20, 2017
Location: Imperial B
Average rating: ****.
(4.50, 2 ratings)

What you'll learn

  • Explore principles and examples of successful human-computer cognitive collaboration


Modern AI is less about creating human-like general intelligence than it is about creating tools that do cognitive “spade work” and more generally enhance or extend human intelligence. AI tools based on statistical learning, big data, and pattern recognition can perform a growing number of tasks that are difficult or impossible for humans. At the same time, they are poor at many aspects of cognition that come naturally to humans, such as formulating hypotheses, understanding cause and effect relationships, using commonsense reasoning, picking up on social cues and nonverbal forms of communication, and expressing empathy.

The complementary nature of human and algorithmic intelligence points to the need for an interdisciplinary approach that draws on such fields as computer science, human psychology, behavioral economics, and design thinking to design collaboration systems that better enable forms of human-computer collective intelligence. James Guszcza shares the principles of human-computer collaboration, organizes them into a framework, and offers several real-life examples in which human-computer cognitive collaboration has been crucial to the economic success of a project.

Photo of James Guszcza

James Guszcza

Deloitte Consulting

James Guszcza is chief data scientist at Deloitte and a pioneering member of Deloitte’s original data science practice, where he has applied statistical and machine learning methods to such diverse business problems as healthcare utilization, customer and employee retention, talent management, customer segmentation, insurance pricing and underwriting, credit scoring, child support enforcement, patient safety, claims management, and fraud detection. He also spearheaded Deloitte’s use of behavioral nudge tactics to more effectively act on model indications. A frequent author and conference speaker, Jim designs and teaches hands-on business analytics training seminars for both the Society of Actuaries and the Casualty Actuarial Society, of which he is a fellow and a member of its board of directors. Jim is a former professor at the University of Wisconsin-Madison business school. He holds a PhD in the philosophy of science from the University of Chicago.