Philosophy, Ethics, and Bias in AI
Chief Data Scientist Anthony Scriffignano discusses a philosophical approach to AI, the ethics involved, and the challenge of bias in problem-solving. Hear how they discuss real questions that are coming up in the debate around AI like, "If your digital agent does something on your behalf should you be held accountable or should the AI machine?". Product developers should have ethical conversations about how their tool will can be misused so that they can foresee unethical ways people might take advantage of them. It is important to ask these questions so that people using the tool and the people developing them are aware of the wide spectrum of issues that could come up. Both the developers and users should agree on the problem they are trying to solve so everyone can agree on the solution and the complications that can arise.
Review other interesting ways that artificial intelligence is evolving and how it can start helping your company supplement finance decisioning:
https://www.dnb.com/perspectives/finance-credit-risk/3-ways-artificial-intelligence-supplements-finance-department.html