MIT Sloan Experts
Artificial Intelligence
'Human-Centered AI': How can the technology industry fight bias in machines and people?
By
Human-Centered AI
MIT Sloan Experts Series
The MIT Sloan Experts Series
This installment of the MIT Sloan Experts Series features Renée Richardson Gosline, Senior Lecturer at the MIT Sloan School of Management and a Principal Research Scientist at MIT's Initiative on The Digital Economy. She discusses her research, which looks at the consequences of how and when people trust bots and algorithms to help them make decisions, and what it means for society at large.
Cathy O’Neil, the renowned data scientist and author of the book, Weapons of Math Destruction, also appears on the program. She talks about how AI-infused technologies are increasingly used in ways that reinforce racial exclusion and how the COVID-19 pandemic has worsened inequalities.
Kathy Baxter, Principal Architect of The Ethical AI Practice at Salesforce, weighs in on what companies are doing to meet these challenges. In particular, she discusses the creation of model cards, which are designed to provide critical information about how Salesforce’s machine learning and AI models work—including inputs, outputs, the conditions under which models work best, and ethical considerations in their use.
For past installments of the MIT Sloan Experts Series, visit the MIT Sloan Experts Series playlist on the MIT Sloan YouTube channel.
View a recap of the #MITSloanExperts "Human-Centered AI" Twitter chat with Renée Richardson Gosline
Host Will Knight (@WillKnight) spoke with Renée Richardson Gosline (@reneegosline), a Senior Lecturer at MIT Sloan and a Principal Research Scientist at MIT's Initiative on the Digital Economy, about artificial intelligence, human decision-making, and bias.
The chat explored the role that technology plays in helping people make decisions, and the consequences it has on society at large. Organizations around the world are increasingly deploying technology and AI-infused algorithms to help customers make decisions, and Gosline’s research explores the ways in which the technology industry can fight bias in machines.
