Businesses today are increasingly certain that AI will be a driving force in the evolution of their industries over the next few years. Yet for every successful AI project, there are many that fail to reach widespread adoption in the business and achieve their expected outcomes. Even the most expert data science teams will typically only deploy a handful of models into production every year. This is partly because the mechanics of AI deployment can be complex, and there are still gaps in skills and tooling that can make it difficult for data science, IT operations, and business teams to work in lockstep. But beyond the operational challenges, there are also much more profound issues of trust and transparency that businesses need to address before they can truly turn AI into a business advantage.
IBM approaches data science with these issues in mind, creating tooling to make AI and analytics transparent, fair, and accessible to users of all backgrounds. In this session, we will discuss IBM’s approach to data science and AI ethics and the ways we enable our customers to build powerful machine learning and deep learning models. We will complete an interactive and hands-on lab to explore bias in data science and ways to mitigate it, and then wrap up by discussing exciting emerging technologies. We look forward to exploring together the ways in which ethical data science practices help businesses ensure fair outcomes, remain compliant with regulations, and increase confidence in the value of AI.
Panelists
Jina Lee: IBM Solution Sales Specialist 
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Graduated from UVA May 2019 with B.A. in American Government and Minor in Social Entrepreneurship
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Started in the Summit Program in August 2019 and will transfer to Federal/Public Data & AI team on April 1 as a solution seller
Jessica Emmons: IBM Technical 
Solution Specialist
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Graduated from UVA May 2019 with B.S. in Computer Science and a minor in Engineering Business
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Started in the IBM Summit Program in October 2019 and will transfer to a Federal/Public Systems team on July 1 as a client technical specialist
Nikita Meka: IBM Client Technical Specialist – Data & AI 
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Graduated from UVA May 2018 with B.S. in Biomedical Engineering
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Started in the IBM Summit Program in October 2018
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Joined a Public Sector, Data & AI team in July 2019 (Focus on data science)
Haley Hataway: Data Scientist – NA Government Data & AI Expert Labs and 
Learning
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Graduated from UVA May 2018 with a B.A. in Cognitive Science and a minor in Bioethics
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Started in the IBM Summit Program in October 2018
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Joined a Federal Data & AI team in July 2019, moved to DAELL in January 2020
Marissa Patrick: Power Technical Specialist, IBM Federal Systems | Health and Human Services & Treasury 
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Graduated from UVA May 2018 with a B.S. in Biomedical Engineering
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Started at IBM in August 2018 as a Technical Seller
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Joined IBM Federal Systems as a Power Technical Specialist in October 2018