Keynote Presentation
in
Affinity Event: LatinX in AI (LXAI) Research @ NeurIPS 2021

Meditations on First Deployment: A Practical Guide to Responsible Machine Learning

Alejandro Saucedo ⋅ Seyed Ali Alavi Bajstan

2021 Keynote Presentation
in
Affinity Event: LatinX in AI (LXAI) Research @ NeurIPS 2021

Abstract

As the impact of data science & engineering reaches increasingly farther and wider, our professional responsibility as researchers and practitioners becomes more critical to society. The production data-driven systems we research, design, build and operate often bring inherent adversities with complex technical, societal and even ethical challenges. The skillsets required to tackle these challenges require us to go beyond the algorithms, and leverage diverse and cross-functional collaboration that often goes beyond a single data scientist or developer. In this talk we will cover practical insights from key core ethics themes in data science & engineering, including Privacy, Equity, Trust and Transparency. We will dive into the importance of these core themes, the growing societal challenges, and how organisations such as The Institute for Ethical AI, The Linux Foundation, the Association for Computer Machinery, NumFocus, the IEEE and other relevant academic and industry organisations are contributing to these through standards, policy advise and open source software initiatives.

Speakers

Seyed Ali Alavi Bajstan

Alejandro Saucedo

Alejandro is the Chief Scientist at the Institute for Ethical AI & Machine Learning, where he contributes to policy and industry standards on the responsible design, development and operation of AI, including the fields of explainability, GPU acceleration, privacy preserving ML and other key machine learning research areas. Alejandro Saucedo is also the Director of Machine Learning Engineering at Seldon Technologies, where he leads teams of machine learning engineers focused on the scalability and extensibility of machine learning deployment and monitoring products. With over 10 years of software development experience, Alejandro has held technical leadership positions across hyper-growth scale-ups and has a strong track record building cross-functional teams of software engineers. He is currently appointed as governing council Member-at-Large at the Association for Computing Machinery, and is currently the Chairperson of the Kompute GPU Acceleration Committee at the Linux Foundation. LInkedin: https://linkedin.com/in/axsaucedo Twitter: https://twitter.com/axsaucedo Github: https://github.com/axsaucedo Website: https://ethical.institute/

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