Bias in Artificial Intelligence

Bias in Artificial Intelligence

Bias in Artificial Intelligence
Details

Humans can be biased. And so can the AI that learns from us. In this session, Dr. Renee Richardson Gosline, Senior Lecturer in Management Science at MIT, will share the importance of thinking critically and acting ethically to eliminate bias from the artificial intelligence we create.


Renée Richardson Gosline is a Senior Lecturer in the Management Science group at the MIT Sloan School of Management and a Principal Research Scientist at MIT's Initiative on The Digital Economy.


She is a 2020 honoree on the Thinkers50 Radar List of thinkers who are “putting a dent in the universe,” and has been named one of the World’s Top 40 Professors under 40 by Poets and Quants. Gosline is an expert on the intersection between behavioral science and technology, and the implications for cognitive bias in human decision-making. She is a leading thinker on the science of digital brand strategy and her research and expertise have been published in various academic and trade publications.


Renée’s research examines how social structure and technology (e.g., Digital Customer Experience, Status, Social Media) affect performance and self-perception (as featured in her Tedx talk, “The Outsourced Mind”). Her projects have examined: how cognitive style predicts preference for AI versus human input; the interaction of brand status and placebo effects in performance; how consumers determine “real” from “fake” products; the circumstances under which customers perceive value in platforms; and the effects of storytelling in social media on trust and persuasion. In order to address these issues rigorously, Gosline employs experimental methodology, both in the field and the laboratory.


Renée conducted her Undergraduate, Master’s, and Doctoral education at Harvard University.


Registration Fee

$15 per member

$25 per non-member


Virtual Meeting URL 

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Hosted By
NEW Toronto
Event Contact
Sharda Angl
newtoronto@newonline.org
Event Details
NEW Toronto

Tuesday, November 30, 2021

8:30 am - 10:00 am (ET)

Registration Fees

Registration Fee

$15 per member

$25 per non-member

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