The First International Workshop on Trustworthy AI for the Future of Risk Management TAI-RM 2022 (https://computing.ulster.ac.uk/TAI-RM2022/) In association with WoWMoM 2022 (https://computing.ulster.ac.uk/WoWMoM2022/index.html) June 14th 2022 Belfast, Northern Ireland, UK
Motivation: Wireless, mobile, and multimedia networking are critical part of services in modern life within the Internet of Things (IoT) context and present far-reaching opportunities for businesses. However, the growing complexity, pace and scale of global interconnectivity of tomorrow will present organisations with increasing systemic digital threats and challenges in risk management. AI and predictive analytics are powerful tools to have in the arsenal of any risk management strategy and offers exciting prospects. AI, however, also brings new risks and manifests those risks in perplexing ways that is hard to ignore, e.g., AI's disruptive and, sometimes, disorderly capabilities. Their ability in effective risk management hinges on establishing a trustworthy AI foundation. Actually, building trustworthy AI systems is paramount as AI becomes more prominent across the globe. Trustworthy AI represents the evolution of AI, and offers opportunities for industries to create AI system that are transparent, explainable, fair, robust, and preserve privacy (so-called five pillars of trustworthy AI representing important factors in establishing reliable technology), especially in high-risk and safety-critical applications. TAI-RM2022 workshop will be held as one of the workshops of WoWMoM2022. The local organizer of the first TAI-RM 2022 workshop is Artificial Intelligence Research Center (AIRC) from the School of Computing, Ulster University, Belfast, Northern Ireland, UK. This is also a joint event associated with the IEEE SMC (System, Man and Cybernetics) Ireland Chapter 28 Annual Workshop. It aims to bring together academic researchers, industry practitioners, regulators and stakeholders to share their latest results, gather new problems, explore the deep understanding of trustworthy AI, understand the implications of trustworthy AI for existing risk management practices and the broader regulatory context, discuss the foundations in the design of every AI system in terms of those 5 pillars, the practical challenges associated with the implementation of the state-of-art trustworthy AI methods, as well as discuss the key opportunities and focus areas within trustworthy AI to face the unique challenge s in the future of risk management in different areas, especially in IoT area. Topics: Potential topics include, but are not limited to, the following: - Novel theoretical achievements for TAI methodology. - Novel developments for existing TAI techniques. - Practical deployment of TAI within different domains: best practices and lessons learned. - Reviews highlighting important challenges and open problems within TAI. - Case studies of use response to TAI techniques and AI model outputs. - Novel datasets for use within the TAI in application community. - Discussion on industry areas where how best to leverage TAI moving forward. - TAI related regulation description and enforcement. Important Dates: Abstract submission deadline: 15 February 2022 Paper submission deadline: 01 March 2022 Paper acceptance notification: 01 April 2022 Camera-ready paper submission: 15 April 2022 Workshop: 14 June 2022 Organizers: Artificial Intelligence Research Center (AIRC), School of Computing, Ulster University IEEE SMC Ireland Chapter (SMC28) Best regards Jun TAI-RM2022 Organizing Chair Dr Jun Liu | Reader in Computer Science |Director of Artificial Intelligence Research Centre (AIRC) | School of Computing | Faculty of Computing, Engineering and the Built Environment | Ulster University at Jordanstown Campus| Shore Road, Newtownabbey BT37 0QB | County Antrim, Northern Ireland, UK| Tel: +44 (0) 28 95365687 | Email: j....@ulster.ac.uk | Homepage: https://www.ulster.ac.uk/staff/j-liu | AIRC twitter: https://twitter.com/UlsterUniAi This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. 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