What’s Wrong With AI?
Episode 3 — with Dr Marco Ortolani
Artificial Intelligence is not without its challenges.
Some of these include bias and fairness, questions on ethics and privacy, and many more.
Having discussed first the foundations and then usability of AI, on this third episode of You and AI, hosts S.I Ohumu and Mohineet Kaur speak with Dr Marco Ortolani about what ails AI and how one might go about thinking through solutions, if at all possible.
Listen to the episode below, and read on for resource links and more on the expert featured in the discussion.
Press play to listen to episode three of You and AI
Listen to episode three of You and AI wherever you listen to podcasts:
Apple Podcasts | Spotify | and more.
References:
EU AI Act:
European Commission. (2021). EU Artificial Intelligence Act. Retrieved from
https://artificialintelligenceact.eu/
AI and Job Loss
Graetz, G., & Michaels, G. (2019). Robots at work: the impact on productivity and jobs. IZA Journal of Labor Policy, 8(1), 1–21. doi: 10.2478/izajolp-2019–0004
AI Ethics
Turing Institute. (2019). Understanding artificial intelligence ethics and safety. Retrieved from https://www.turing.ac.uk/sites/default/files/2019-06/understanding_artificial_intelligence_ethics_and_safety.pdf
Algorithmic bias
Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (pp. 77–91). doi: 10.1145/3178876.3186151
YouTube video. Code.org. (2017, June 27). What is algorithmic bias? [Video]. YouTube.
About the Expert
Dr Marco Ortolani works as a Senior Lecturer at Keele University for the last four years. He has a PhD in Computer Engineering from the University of Palermo (Italy), in which his research focused on the use of fuzzy logic and market basket analysis to categorise genomic and proteomic data. He has been in the field of research for more than 20 years and has published various research papers, journal articles and chapters.
His current research regards the design of smart systems for managing large amounts of data. His focus is in particular on the extraction of meaningful knowledge, by producing human-interpretable models, particularly in structural knowledge extraction and explainable machine learning.
First Published on Medium by Stephanie S.I Ohumu on May 10, 2023.
Exported from Medium on April 22, 2025.