Ethical considerations when implementing AI

Workshop BIG DATA CLOUD/DATA INTEGRATION CONVERSATIONAL AI CUSTOMER EXPERIENCE DATA GOVERNANCE DATA MANAGEMENT DATA STRATEGY ETHIC EXPLAINABLE NATURAL LANGUAGE PROCESSING (NLP) SUSTAINABILITY

2023-02-09 | 11:00 AM - 11:30 AM | Workshop 2

Information

Long before implementing AI technically, there are ethical considerations to be made. The risk to your company’s reputation from an ethical misstep, is arguably bigger than the risk of not being regulatory compliant. But where do you start? What are some of the possible pitfalls? Is there a framework to use? Should you have an AI Ethics board? Priya and HP will discuss some real life examples where AI implementations failed, even when the intentions and ethical considerations were made. Learn how AI implementation is so much more than a technical implementation.

Speaker Bio's

Priya Krishnan, Director, Product Management at IBM Data and AI

Priya Krishnan is the Product Management Executive for Data Governance and Data Science at IBM, managing a portfolio of products that make it easy for businesses to consume AI. Priya has been with IBM for 12 years with experience across multiple product domains in the Data management and Data science space. Prior to joining IBM, Priya was a data scientist at a startup that was acquired by IBM. She holds a bachelor’s degree in Engineering Management and a Masters in Operations Research from UT Austin.

Hans Petter (HP) Dalen, Sales Executive AI Governance at IBM EMEA

HP is leading IBM’s AI Governance business in EMEA, providing clarity on how to implement and use AInresponsibly. He has previously been leading IBM’s collaboration business as well as IBM’s business intelligence business in EMEA. With 23 years in IBM, HP has both broad and specialist knowledge in the transformational journey to become data driven and AI trustworthy.