A new AI lexicon: social good

Source: Medium / AI Now Institute


This guest post by Doaa Abu-Elyounes and Karine Gentelet reviews the challenges of defining AI as ethical, responsible, or good.

These definitions often judge AI technology’s social impact as a whole, even though the applications have very different impacts on different groups of society.

The essay highlights the lack of substance inherent to the many initiatives surrounding ‘AI for good’; the various contributions to date are characterized as often broad, aspirational, and hollow, they tend to focus on neglected societal needs.and they often differentiate between economic impact and the societal impact and advantages.

They conclude with a call for a more nuanced approach that examines how each AI system impacts disadvantaged and marginalized groups.


Next
Next

AI should augment human intelligence, not replace it