Tech and Society

In the last post of this series, I introduced the issue of algorithmic bias. Inspired by the well-meaning but ultimately flawed efforts of Google’s chatbot, Gemini, towards inclusivity, I looked at the challenges of addressing bias—such as the conceptual ambiguity of terms like 'fairness' and the inherent subjectivity in correcting bias. This raised the fundamental question of how best to approach the issue: should we adopt a normative stance, based on how we think the world should be, or a descriptive one, reflecting how the world actually is? The former approach has subjectivity problems, risks distorting the truth, and importantly might deprive us of insights into inequality that we need to address. However, bias is damaging on so many levels and needs to be dealt with somehow.

In a world where AI’s reach continues to expand, the challenge of managing algorithm bias has become increasingly apparent. The recent missteps by Google's...

Welcome to the first post of the Tech & Society blog series. Each month, this series will delve into the various challenges, issues, and advancements in both...