UKAIS is delighted to announce a seminar on the 25th of June at 12pm delivered by Dr Federico Iannacci, Associate Professor at the University of Sussex and Senior Editor at the Information Systems Journal.
The title of Federico’s presentation is ‘AI Mindfulness in Policing: A Typological Theory’ and the abstract follows. Please find the Zoom link below.
Abstract. Drawing on generalised analytic induction, we explore the conditions leading to the emergence of Artificial Intelligence (AI) Mindfulness in the context of policing in England and Wales. We define AI Mindfulness as a cognitive state stemming from risk-awareness and openness to the value-adding applications of AI tools. Our results show that AI Mindfulness emerges when users distrust AI, perceive that AI is risky and find AI regulations unclear or distrust AI, perceive AI as risky and find AI tools unexplainable. However, users that find AI regulations clear and AI tools explainable are more likely to take an ambivalent stance towards AI by simultaneously trusting it and perceiving it as risky. Accordingly, we uncover three distinct types of mindful AI users: the AI-Regulation Sceptic, the AI-Opposed User and the AI-Ambivalent User. Our typology has wider implications for the responsible design and use of AI tools.
I look forward to seeing you then.
Best wishes,
Dimitra
—
Dimitra Petrakaki is inviting you to a scheduled Zoom meeting.
Topic: UKAIS seminar
Time: Jun 25, 2025 12:00 PM London
Join Zoom Meeting
https://universityofsussex.zoom.us/j/94689008216
Meeting ID: 946 8900 8216
—
One tap mobile
+13092053325,,94689008216# US
+13126266799,,94689008216# US (Chicago)
—
Dial by your location
• +1 309 205 3325 US
• +1 312 626 6799 US (Chicago)
• +1 346 248 7799 US (Houston)
• +1 360 209 5623 US
• +1 386 347 5053 US
• +1 507 473 4847 US
• +1 564 217 2000 US
• +1 646 558 8656 US (New York)
• +1 646 931 3860 US
• +1 669 444 9171 US
• +1 669 900 9128 US (San Jose)
• +1 689 278 1000 US
• +1 719 359 4580 US
• +1 253 205 0468 US
• +1 253 215 8782 US (Tacoma)
• +1 301 715 8592 US (Washington DC)
• +1 305 224 1968 US
Meeting ID: 946 8900 8216
Find your local number: https://universityofsussex.zoom.us/u/acjaPVqk1v
—
Join by SIP
—
Join by H.323
• 144.195.19.161 (US West)
• 206.247.11.121 (US East)
• 115.114.131.7 (India Mumbai)
• 115.114.115.7 (India Hyderabad)
• 159.124.15.191 (Amsterdam Netherlands)
• 159.124.47.249 (Germany)
• 159.124.104.213 (Australia Sydney)
• 159.124.74.212 (Australia Melbourne)
• 170.114.180.219 (Singapore)
• 64.211.144.160 (Brazil)
• 159.124.132.243 (Mexico)
• 159.124.168.213 (Canada Toronto)
• 159.124.196.25 (Canada Vancouver)
• 170.114.194.163 (Japan Tokyo)
• 147.124.100.25 (Japan Osaka)
Meeting ID: 946 8900 8216