Towards a more inclusive world: Uncovering and addressing human and algorithmic limitations
Dr. Oliver first briefly presents ELLIS Alicante (https://ellisalicante.org/), the only ELLIS unit that has been created from scratch as a non-profit research foundation devoted to advancing AI for Social Good. She then presents a few examples of the work at ELLIS Alicante on uncovering and mitigating both human and algorithmic limitations with AI.
On the human front, Dr. Oliver presents her unit’s study of the attractiveness halo effect in the era of AI-based beauty filters, and the research that they have done about the influence of beauty filters that are so popular on social media. On the algorithmic front, she briefly presents FairShap, a novel pre-processing approach based on Shapley Values, along with recent work on measuring structural patterns in social networks and on uncovering the uneven impact of Deep Ensembles.
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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.