June 6, 3:00pm
Location: Santa Clara I

Panelist: Explainable AI: Current Challenges and Future Perspectives

This panel will discuss a wide range of aspects of Explainable AI that may include informativeness, trustworthiness, fairness, transparency, causality, transferability, reliability, accessibility, privacy, safety, verifiability and accountability. The topics discussed at the panel will cover aspects of Explainable AI that may include local and global scope, specific and agnostic models, as well as aspects of constructive, what-if, counterfactual and example-based explanations. Other potential topics may include recent developments related to real world bias of AI, how this bias is reflected in data bias, the encoding of data bias in algorithmic bias, its uncovering by Explainable AI, and how the latter can be used for closing the loop by mitigating real world bias of AI. The panel will also explore current challenges and future perspectives in Explainable AI that may include formalisation and evaluation of explanations, their adoption in industry, their potential for improving human machine collaboration and their ability to facilitate collective intelligence, responsibility, security and causality in AI.

Keeley Crockett SMIEEE SFHEA is a Professor in Computational Intelligence at Manchester Metropolitan University (MMU). She gained a BSc Degree (Hons) in Computation from UMIST (1993), and a PhD in Fuzzy Decision Trees from MMU (1998). She currently leads the Machine Intelligence theme in the Centre for Advanced Computational Science.  Her research interests include the ethics of Artificial Intelligence (AI), fuzzy systems, psychological profiling using AI, fuzzy natural language processing, semantic similarity, conversational agents and intelligent tutoring systems. Recent grant activity includes funding from EPSRC, H2020, The Alan Turing Institute and Innovate UK.  Keely is the Co-Academic lead on the £6m ERDF match funded GM AI Foundry project (2020-2023) and has delivered Data and AI Ethics workshops to over 80 businesses. Keeley chairs the IEEE Technical Committee Ethical, Legal, Social, Environmental and Human Dimensions of AI/CI (SHIELD). With Research England QR Strategic Priorities, KC co-produced with Policy Connect and the UK All-Party Parliamentary Group on Data Analytics, an inquiry that published Our Place, Our Data: Involving Local People in Data and AI-Based Recovery (2021). She received STRENGTH IN PLACES POLICY funding to conduct a round table and deliver a case study booklet – “SME Readiness for Adoption of Ethical Approaches to AI Development and Deployment, Metropolis. She has organized 13 special sessions and 3 international workshops, has 28 PhD completions and externally examined 12 PHDs. She has also supervised master’s by research for FRONTEX. For more information see https://www.mmu.ac.uk/staff/profile/professor-keeley-crockett