Dear readers,
 

I am conducting a research study that examines the challenges associated with the lack of explainability in AI-based predictive crime analytics. The study examines how:
1) concerns about transparency and explainability can affect public trust;
2) predictive crime analysis can perpetuate biases; and
3) lack of trust can influence both policymaking and societal perceptions of fairness in the criminal justice system.

The overarching goal of the study is to identify strategies for developing more explainable AI systems.

What's involved?

• A 30-60 minute interview (online).
• Alternatively, you can complete an online version of the interview via this LimeSurvey link: https://thijmen192.limesurvey.net/512417

If you're interested in participating or would like more information, please contact me by:

• Replying to this post, or
• Emailing me at t.vanvarik@student.ou.nl

Thank you in advance for your time and consideration. I look forward to hearing from you.

Best regards,

Thijmen van Varik

Master's Student in Business Information Management at the Open University of The Netherlands (Faculty Beta Sciences).

Advisors: S. Bagheri (PhD, Information Systems), V. Dirksen (PhD, Social Sciences)