As AI tools enter everyday work, many of the critical questions are psychological. People may rely on automated recommendations without enough scrutiny (Parasuraman & Manzey, 2010), or abandon an algorithm after seeing it make a single mistake, even when it outperforms human judgement (Dietvorst et al., 2015). For managers these are questions of trust and responsibility: who checks, who decides, and who answers for the outcome.
Themes
- Calibrating trust in AI tools
- Keeping human judgement active
- Accountability when decisions are shared with AI
- How teams experience AI: uncertainty, skills, fairness
Delivered in person for one organisation at a time, adapted to its context, and offered as one complete programme.
A short conversation to understand your context, followed by a written proposal.
Email: info@wfontanini.com
A programme brochure is available on request.
References
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126. https://doi.org/10.1037/xge0000033
Parasuraman, R., & Manzey, D. H. (2010). Complacency and bias in human use of automation: An attentional integration. Human Factors, 52(3), 381–410. https://doi.org/10.1177/0018720810376055