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Organizing for Ethical AI

by Fintech club


Back to IESE Connect 2021

Fri, Feb 26, 2021

3:50 PM – 4:30 PM (GMT+1)

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Barcelona, Spain

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Organizing for Ethical AI: As progress is made in technical and ethical understanding of AI, the challenge is increasingly managerial. How should companies organize their development and deployment of AI to ensure it is ethical? How should responsibility be allocated in the organization? What do current and future managers need to know?

Sebastian Wieczorek (Vice President for AI Technology at SAP and member of SAP AI Ethics Steering Committee),
Gloria Macias-Lizaso (Enterprise Commercial Lead at Microsoft and former partner at McKinsey & leader of McKinsey Machine Learning Hub)

Sampsa Samila (Associate Professor at IESE Business School)

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Barcelona, Spain


Sebastian Wieczorek's profile photo

Sebastian Wieczorek

Vice President - Artificial Intelligence Technology


Dr. Sebastian Wieczorek is Vice President - Artificial Intelligence Technology at SAP. His team builds a platform which serves as central vehicle for customers to manage and for partners to extend AI content utilized across all of SAP offerings. In addition, he is a key spokesperson for AI and member of SAP’s AI ethics steering board, which provides company-wide guidelines on how to apply AI in a human-centric way. Sebastian is member at Bitkom’s AI working group, member of the steering board of the EU-project SHERPA, which conducts research on ethical questions in regard to the use of AI, and serves as an academic expert and reviewer for the European Commission and the German Federal Ministry of Education and Research (BMBF). Until October 2020, Sebastian was a member of the Enquete Commission on AI of the German Bundestag.

Gloria Macias-Lizaso's profile photo

Gloria Macias-Lizaso

Enterprise Commercial Lead


Gloria Macías-Lizaso is Microsoft Spain Enterprise Commercial Director. She leads Microsoft’s business to accelerate the digital transformation of large Spanish companies by adopting innovation technologies around Microsoft Intelligent Cloud & Intelligent Edge. She joined Microsoft from McKinsey & Co where she was the Partner co-leading McKinsey’s Advanced analytics practice in EMEA. In McKinsey she led different roles, for example, cultural and digital transformation, economic development in emerging market and Telco industry strategy. She also built and led the Global Center of Excellence for Machine Learning in Madrid.

Sampsa Samila's profile photo

Sampsa Samila

Associate Professor

IESE (moderator)

Sampsa Samila received his PhD from Columbia University (New York, NY, USA) in Mathematics and his MSc from Helsinki University of Technology (Espoo, Finland; now part of Aalto University) in Mathematics and Economics. He has taught previously at Columbia Business School, Brock University (St Catharines, ON, Canada), and the National University of Singapore. At IESE, Sampsa teaches artificial intelligence, innovation strategy, and competitive strategy in a range of programs from MBA and EMBA to senior executives. He is particularly focused on how new technologies like AI enable new business models, the challenges of organizing to develop the capabilities and deliver the value, and how to change the mindset of executives to understand the changes brought by these new developments. As the Academic Director, he designs and leads the Artificial Intelligence for Executives open enrollment program for senior executives. He has written a number of cases on Scribendi, Siemens, Uber, Amazon, and others. He is currently writing cases on AI business transformation in different industries. Sampsa also speaks extensively on AI and advices companies. Sampsa’s research focuses primarily on artificial intelligence, innovation, entrepreneurship, and strategy. His most recent working paper tracks the dramatic increase in the demand for AI skills in the labor market and he is currently engaged in studying the causes and consequences of AI adoption in firms. His other projects include gender and ethnic integration in innovation as well as trust and social networks. His prior work has studied for instance how success persists in venture capital, how venture capital generates innovation and economic growth, and how networks shape the path of commercial development. His work has been published in highly-respected journals such as American Sociological Review, Management Science, Research Policy, and Review of Economics and Statistics. His work has been discussed in Institutional Investor, Slate, Huffington Post, The Atlantic, Harvard Business Review, IESE Insight, and elsewhere.