As we do so, though, it’s important to remember that when it comes to algorithmic biases, the real fault lies not in our algorithms but in ourselves. AI tools don’t create bias — they reveal ...

The World Economic Forum Global Risks Report 2025 highlights the dual nature of technological acceleration—offering profound ...

As boycotts continue, Facebook and Instagram will try to address algorithmic racial bias Social media giant Facebook will try to address algorithmic racial bias. This tool lets you see–and ...

A review of fairness in machine learning discusses various mechanisms to identify and mitigate algorithmic bias, categorizing them into pre-process, in-process, and post-process strategies[3].

It goes through a number of real case studies and examples for each to illustrate ... professional about ethical issues they have encountered in their career. Algorithmic bias may be the topic that ...

The beginning of the week will be dedicated to an overview of algorithmic bias, its prevalence, and its consequences. Then, you'll examine real-world instances of algorithmic bias. Towards the end of ...

An AI assistant gives an irrelevant or confusing response to a simple question, revealing a significant issue as it struggles to understand cultural nuances or language patterns outside its training.

2. Conduct regular bias audits. Frequent and thorough audits of AI systems should be conducted to identify patterns of bias ...

RUSI was commissioned by the Centre for Data Ethics and Innovation (CDEI) to conduct an independent study into the use of data analytics by police forces in England and Wales, with a focus on ...