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 From scarcity to abundance: Scholars and scholarship in an age of generative artificial intelligence. 3 March 2023 The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. 3 March 2023 2023 3 March 2024 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.
From scarcity to abundance: Scholars and scholarship in an age of generative artificial intelligence. 3 March 2023
The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. 3 March 2023