Decision making and decision analytics in the era of AI: A match made in heaven (or hell)?

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Abstract

How can we help managers and policy-makers tackle complex decisions? What is the role of decision analytics in the era of AI? What is the future of decision support? Nadia has been involved in numerous projects conducted with businesses with the aim of designing, developing and deploying decision support and AI-powered tools. She will demonstrate how to embed such tools into decision making processes to help managers and professionals make better and faster decisions. She will discuss how decision analytics can be used to augment decision making capability and the relevance of decision analysis concepts in the era of AI (and generative AI in particular). Finally, she will discuss her latest projects in the areas of explainability and AI ethics.

The Speaker

Nadia is a Professor of Information and Decision Sciences at Alliance Manchester Business School (AMBS), The University of Manchester and a Fellow of the Alan Turing Institute.

Her research lies in the interface of decision behaviour, analysis, and support and she has co-authored a book on these topics published by Cambridge University Press. She has a track record of inter-disciplinary research drawing from decision theory, artificial intelligence, operations research, digital systems and behavioural and psychology studies. Her research has two strands: building explainable decision support tools and exploring the effect of individual characteristics on customer decision behaviours such as purchase intention and service adoption.

Over the years, she has led a range of research projects and received funding from various funding bodies including the EPSRC, Innovate UK and the Alan Turing Institute. She has recently been appointed as member of the TREx (Turing Research Ethics) panel.

Nadia is actively involved in leading UK and US Professional Analytics Societies (Operational Research Society and INFORMS). She is the elected Chair of DASIG (Decision Analysis Group), elected Secretary/Treasurer of the MCDM (Multiple Criteria Decision Making) section of INFORMS and elected Member of the Council of the US DAS (Decision Analysis Society).