Data Science in the Age of AI

Thursday, March 1, 2018 - 5:30pm to 6:30pm
Location: 
Vincent Hall

Artificial Intelligence is one of the signature issues of our time, reshaping both business and societal landscapes.  In financial services, both traditional players and fintech companies commonly use AI and machine learning to prospect customers, underwrite risks, flag cases for suspected fraud, and identify new trading strategies.

Though ubiquitous, modern AI is also commonly misunderstood.  Today’s 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.

5:00 p.m. Tea, Vincent Hall 120 

5:30 - 6:30 p.m. Lecture, Vincent Hall 16

Presentation Slides

Presenters

James Guszcza

Dr. James Guszcza
US chief data scientist of Deloitte Consulting

Dr. James Guszcza is the US chief data scientist of Deloitte Consulting, and a member of Deloitte’s Advanced Analytics and Modeling practice. Jim has extensive experience applying predictive analytics techniques in a variety of public and private sector domains. He has also spearheaded Deloitte’s use of behavioral nudge tactics to more effectively act on model indications and prompt behavior change. Jim is a former professor at the University of Wisconsin-Madison business school, and he holds a PhD in the Philosophy of Science from The University of Chicago. Jim is a Fellow of the Casualty Actuarial Society and on its board of directors.