Date of Award

Spring 2024

Degree Name

Bachelor of Science (BS)

Advisor(s)

Yilu Zhou

Abstract

This paper discusses the lack of ethical preparation that most industries have in the rapid adoption of artificial intelligence (AI), as well as the potential social and ethical implications. The rapid adoption of AI technology presents several ethical challenges for companies, such as bias and discrimination, data privacy concerns, and lack of transparency. This paper aims to explore the length to which businesses are anticipating, mitigating, or avoiding these ethical risks through transparency in their Responsible AI policies and standards as well as whether ethics and responsible AI are considered in the hiring process for AI-related jobs. This research looked at the codes of ethics (and separate releases) from the S&P 100 companies in the US to find if they have explicit policies and standards regarding the ethical use of AI. In addition, this research also looked at over 1200 open job listings related to artificial intelligence on Indeed.com, to find whether they contain mentions of ethics-related keywords such as bias, privacy, transparency, and accountability. This research found that only 29% of businesses had explicit codes about Responsible AI and only 7.9% of job listings mentioned ethics in it.

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