Description

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As Artificial Intelligence systems pervade day-to-day life, the need for these  systems to be robust, fair, accurate, and just has become of urgent importance. As the foundational backbone of AI systems, large scale datasets play a crucial role in the performance, accuracy, robustness, fairness and trustworthiness of AI systems. 

In this talk, we: 

a) present work that highlights numerous concerns arising from large scale datasets, 

b) discuss the downstream impact of such dataset on models (including the exacerbation of societal biases and negative stereotypes) and 

c) review some approaches to both incremental improvements as well as shepherding broader structural change.


Local ODSC chapter in NYC, USA

Hybrid ODSC East 2024 on 23rd-25th April - https://hubs.li/Q027_nYw0 

Use COMMUNITY-EAST2024 - code for extra discount on any pass of your choice.

Instructor's Bio

Abeba Birhane

Senior Fellow in Trustworthy AI | Adjunct Lecturer/Assistant Professor, Mozilla Foundation | Trinity College Dublin

Abeba  is a cognitive scientist, currently a Senior Advisor in AI Accountability at Mozilla Foundation and an Adjunct Assistant Professor at the School of Computer Science and Statistics at Trinity College Dublin, Ireland. She researches human behaviour, social systems, and responsible and ethical AI – work for which she was recently featured in Wired UK and TIME on the TIME100 Most Influential People in AI list. Birhane also serves on the United Nations Secretary-General’s AI Advisory Body and the newly-convened AI Advisory Council in Ireland.

Webinar

  • 1

    ODSC East 2024 Keynote: "Social and Ethical Implications of Generative AI"

    • Ai+ Training

    • RSVP HERE

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