AI Bias: Experts Call for Inclusive Technology to Combat Inequality

Millions use AI daily, but its algorithms often reflect gender, ethnic, age, and contextual biases. Amazon, for example, discarded a biased recruitment system favoring men. Facial recognition systems also show higher error rates for women and people of African descent. Brandeis Marshall, CEO of DataedX, and Rumman Chowdhury, former Twitter ethics lead, stress the importance of inclusive technology. They advocate for a complete cycle rethink, from data selection to system design and evaluation. This involves creating AI that functions equally well for all skin tones and understands diverse accents. The UN's emphasis on designing digital tools for diverse societies supports this urgent need for change. Building unbiased AI requires addressing these biases from the start, creating a more equitable technological future.