KeyNOTE Speakers

Professor in Computational Intelligence / Lead Machine Intelligence Theme

Chair  IEEE Taskforce on Ethical and Social Implications of Computational intelligence

Chair IEEE Computational Intelligence Society Diversity and Inclusion subcommitee

Department of Computing and Mathematics

Manchester Metropolitan University, UK

Short Bio- 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. She led work on Place based practical Artificial Intelligence, facilitating a parliamentary inquiry with Policy Connect and the All-Party Parliamentary Group on Data Analytics leading to the inquiry report Our Place Our Data: Involving Local People in Data and AI-Based Recovery (1/4/2021). She is currently, the PI on the EPSRC Grant – “PEAs in Pods: Co-production of community based public engagement for data and AI research.”, CO-I on The Alan Turing Institute, People-powered AI: responsible research and innovation through community ideation and involvement Grant, academic co-lead in the ERDF £6m GM Artificial Intelligence Foundry and PI on two Innovate UK KTPs, She has also received STRENGTH IN PLACES POLICY funding to engage GM business on “SME Readiness for Adoption of Ethical Approaches to AI Development and Deployment”.She is the Chair of the IEEE CIS Technical Committee on Ethical, Legal, Social, Environmental andHuman Dimensions of Computational Intelligence, Chair of the IEEE Computational Intelligence Diversity and Inclusion subcommittee, and Co-chair of the IEEE Women in Engineering Educational Outreach. She is a Senior Fellow of the Higher Education Academy and an active UK STEM Ambassador. Keeley serves as an Associate Editor on the IEEE Trans. Emerging Topics in Computational Intelligence, IEEE Trans. Artificial intelligence, IEEE Trans on Fuzzy systems, and IEEE Computational Intelligence Magazine. She was the General Co-chair for IEEE SSCI 2021, the Co-Chair of the IEEE Symposium on the Ethical, Social and Legal Implications of Artificial Intelligence (IEEE ETHAI) – IEEE SSCI 2021, 2022 and will also be the Co-Chair in IEEE ETHAI 2022 in Singapore and a FUZZ-IEEE Technical Co-chair at IEEE FUZZ 2024. She has co-organized 16 special sessions, 4 workshops and authored over 130 peer reviewed publications and has co-authored 3 international textbooks in database systems. She has supervised 28 PhDs to completion and has externally examined 11 PhDs in the UK, Europe, India, and Azerbaijan.

Title:  People Powered AI – Challenges and opportunities in responsible innovation

Abstract: – The ethical, social, and legal landscape of Artificial Intelligence (AI) driven systems is rapidly changing. Since the General Data Protection Regulation (2018), stakeholders developing AI systems have faced numerous challenges in the interpretation and implementation of Article 22, specifically concerning an individual’s rights in the context of automated decision making, the ability of AI to explain decisions, explanation of the logic involved, and to develop models using only “correct” data. This has and is causing major challenges due to the lack of legal guidance, case law and ethical principles about the use of AI in different contexts. In 2023, the passing of the EU AI Act and other Global “AI and Digital” legalisation promises to also be a big disrupter to all stakeholders working in the field as adopting a risk-based approach to AI becomes the norm. In this talk I will briefly overview ethical issues and relevant legalisation related to AI and data driven technologies that are arising due to the increasing use of AI and whether consumers /audiences/ citizens are aware to these developments. Responsible innovation and ethical tech are essential to build public trust, yet how can businesses and researchers in academia harness People Power through community ideation and involvement and people’s panels? In this talk I will give some examples of bridging the gap between businesses, academia, and people and how the use of ethical toolkits such as consequence scanning can help to build citizen confidence and have impact potential.