Avoiding Human Bias In AI Systems

How can we build machines that apply certain human values and principles in decision-making? What are the different types of bias we need to be aware of? What is the importance of Transparency vs Responsibility? Can we also use AI to minimize bias?

Jessica Groopman, Founder at Kaleido Insights

Jessica Groopman is Founding Partner & Industry Analyst at Kaleido Insights, a boutique research and advisory firm specializing in emerging technologies. Jessica leads the automation practice and focuses on how convergence across AI, IoT, and blockchain are impacting organizations, user experience, and data integrity. Jessica is a keynote speaker at emerging technology industry events, and frequent contributor to blogs, books, and/media outlets. She has been principal analyst with Tractica where she contributed to their automation and robotics practice, research director with Harbor Research, industry analyst with Altimeter Group, among other research companies. She has also served as contributing member of the International IoT Council, the IEEE’s Internet of Things Group, IoT Guru Network, and FC Business Intelligence’s IoT Nexus Advisory Board. Jessica was also included in Onalytica’s list of the 100 Most Influential Thought Leaders in IoT. Before she worked in business and technology research, Jessica’s research experience was based mostly in academic anthropological fieldwork, specifically in ethnographic, linguistic, and archaeological research both in the United States and abroad.

Kathy Baxter, Architect, Ethical AI Practice at Salesforce

As Architect of Ethical AI Practice, Kathy collaborates with product teams and research scientists to build AI solutions across our products. She drives the internal and external training for ethics in AI and partners with external experts to help inform Salesforce's policies, practices, and products. You can read about her research on the Salesforce UX Medium channel (https://medium.com/@kathykbaxter). Kathy received her MS in Engineering Psychology and a BS degree in Applied Psychology from the Georgia Institute of Technology. She is the coauthor of, "Understanding your users: A practical guide to user research methods."

Kate McCall-Kiley, Co-Founder and Director at xD

Kate McCall-Kiley is a co-founder and director at xD, an emerging technology lab within the US federal government focused on infusing new technologies for public benefit and institutionalizing expertimention along the way. Her work aims to create new environments and mechanisms for behavior change while experimenting with different ways to productively challenge convention. Previously, Kate served as a White House Presidential Innovation Fellow for the Obama Administration where she worked on projects including vote.gov, The Opportunity Project, worker.gov, BroadbandUSA, and Vice President Biden's Cancer Moonshot. Her work has has been featured in places like Time, FastCompany and Wired.

Amulya Yadav , Assistant Professor at Pennsylvania State University

Amulya Yadav is an Assistant Professor in the College of Information Sciences and Technology at Penn State University. He also has an affiliate faculty appointment with the USC Center for Artificial Intelligence in Society. His work in the field of Artificial Intelligence for Social Good focuses on developing theoretically grounded approaches to real-world problems that can have an impact in the field. Amulya's work has been highlighted by Mashable.com as one of "26 incredible innovations that improved the world in 2015". Amulya holds a Ph.D. in Computer Science from the University of Southern California, and a Bachelors from IIT Patna.

Alex London, Director of the Center for Ethics and Policy at Carnegie Mellon University

Alex John London is the Clara L. West Professor of Ethics and Philosophy and Director of the Center for Ethics and Policy at Carnegie Mellon University. An elected Fellow of the Hastings Center, Professor London’s work focuses on ethical and policy issues surrounding the development and deployment of novel technologies in medicine, biotechnology and artificial intelligence, on methodological issues in theoretical and practical ethics, and on cross-national issues of justice and fairness. His papers have appeared in Mind, The Philosopher’s Imprint, Science, JAMA, The Lancet, The BMJ, PLoS Medicine, Statistics In Medicine, The Hastings Center Report, and numerous other journals and collections. He is also co-editor of Ethical Issues in Modern Medicine, one of the most widely used textbooks in medical ethics.

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