Author: John Edwards
Publisher: Information Week
Publication Year: 2022
Summary: The following article discusses how artificial Intelligence (AI) is becoming more popular as tech continues to grow, but with that, the number and intensity of concerns with the use of AI is growing, too. The major concerns this article discusses are issues of bias, explainability, data handling, transparency on data policies, systems capabilities, and design choices. Gambelin, an AI ethicist, says the practice of operationalizing AI ethics involves the translation of high-level principles into concrete, detailed actions and seeks to enable technology focused on human values. One concern is that AI models may be hastily built to fit a business outcome, but not take into the account the effect it has on marginalized and vulnerable populations. Gambelin also pushes for the formalization of AI ethics, including fairness, transparency, privacy, security, safety, accountability, inclusion, and human oversight. According to 2021 research, only 20% of entreprises had an AI ethics framework, but hopefully this percentage will increase as AI becomes more and more prevalent.