Gender, race and power in AI: How do we ensure that the AI we utilise doesn’t produce bigger data gaps than it fixes?

Looks at the potential for AI to recommend actions that maximise corporate profits at the expense of making human lives better or worse and possibly excluding, discriminating against, or even endangering entire populations.

Artificial Intelligence (AI) is on the verge of transforming market research. Companies like Remesh, Canvs and SightX (to name just a few) are using AI to speed the time to deeper, richer insights. Without a doubt, there are many benefits to automation, machine learning and AI. However, there is also the potential for AI to recommend actions that maximise corporate profits at the expense of making human lives better (Konya, 2017) or – worse – excluding, discriminating against, or even endangering entire populations.

There has been much ado recently about AI's racial and gender homogeneity – and for good reason....

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