AI Ethics

Artificial intelligence (AI) is rapidly changing the world, and it is important to consider the ethical implications of this technology. This section of the website explores some of the key issues in AI ethics, based on the author’s research and analysis.

The Automated Gatekeeper

One of the most pressing issues in AI ethics is the use of AI in hiring. In a project called “The Automated Gatekeeper,” the author explored the potential for algorithmic bias in AI-powered hiring tools. The project found that these tools can perpetuate and even amplify existing biases, leading to unfair outcomes for job applicants.

The author proposed a number of solutions to this problem, including:

Human-in-the-Loop: Ensuring that human recruiters are involved in the hiring process to oversee and correct the decisions of AI systems.
Rigorous Auditing: Regularly auditing AI hiring tools to identify and mitigate bias.
Radical Transparency: Making the algorithms used in AI hiring tools transparent to job applicants and the public.

The “Black Box” Problem

Another key issue in AI ethics is the “black box” problem. This refers to the fact that it is often difficult to understand how complex AI systems make decisions. This lack of transparency can make it difficult to identify and correct errors, and to hold AI systems accountable for their actions.

The author explored this issue in the context of AI in hiring, and argued that the “black box” problem is a major obstacle to ensuring fairness and accountability in AI-powered hiring tools.