Auditing the AI Auditors: A Framework for Evaluating Fairness and Bias in High Stakes AI Predictive Models Post author:Fred Ooms Post published:7 March 2023 Post category:2023 Post comments:0 Comments Landers, R. N., & Behrend, T. S. (2023). https://doi.org/10.1037/amp0000972 You Might Also Like “Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? 7 March 2021 The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. 3 March 2023 From scarcity to abundance: Scholars and scholarship in an age of generative artificial intelligence. 3 March 2023 Leave a Reply Cancel replyCommentEnter your name or username to comment Enter your email address to comment Enter your website URL (optional) Save my name, email, and website in this browser for the next time I comment.
“Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? 7 March 2021
The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. 3 March 2023
From scarcity to abundance: Scholars and scholarship in an age of generative artificial intelligence. 3 March 2023