Online Safety Bill: How Global Platforms Use MLOps to Keep People Safe • Phil Winder • GOTO 2023

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868 بار بازدید - 6 ماه پیش - This presentation was recorded at
This presentation was recorded at GOTO Amsterdam 2023. #GOTOcon #GOTOams
https://gotoams.nl

Phil Winder - CEO of Winder.AI, Author of "Reinforcement Learning" ‪@philwinder263‬

RESOURCES
Twitter: DrPhilWinder
LinkedIn: drphilwinder
https://github.com/philwinder
https://winder.ai
https://winder.ai/blog
https://winder.ai/how-social-media-pl...

ABSTRACT
The UK government’s communications regulator, Ofcom, commissioned Winder.AI to produce a report to improve their understanding of the end-to-end AI governance processes that support the creation and deployment of automated content classifiers used in moderating online content. Together we interviewed social media platforms and moderation technology vendors to ask them about the tools, technologies and processes that are often referred to as machine learning operations (MLOps).

In this presentation, I will distill the findings of the report and share some of the insights that we gained from the interviews. With a particular emphasis on online safety, you will learn about how MLOps and AI governance is used within these companies to help ensure that their AI solutions are safe and effective. You will also learn about the challenges that they face in operating their AI solutions at scale. Finally, this presentation will emphasise the importance of online safety and briefly review the UK government’s Online Safety Bill and the impact that it may have.

This presentation focuses on the importance of online safety and is therefore relevant to anyone interested in keeping people safe online. On a technical level, this presentation delves into the use of AI, AI governance, and MLOps, and is therefore relevant to anyone who is interested in AI. [...]

TIMECODES
00:00 Intro
01:10 Social media
02:20 Is speech really free?
03:23 Other laws
05:25 Online safety
09:27 Ofsted
13:01 Online safety bill
13:50 What is "illegal content"?
14:42 OSM - Ramifications
18:06 Social media - Scale
19:46 How? - AI of course!
20:36 What's MLOps?
21:35 Report methodology
23:25 General findings
33:42 EU AI act
39:59 What's next?
41:26 Outro

Download slides and read the full abstract here:
https://gotoams.nl/2023/sessions/2524

RECOMMENDED BOOKS
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP
Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow • https://amzn.to/2XZaQy8

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6 ماه پیش در تاریخ 1402/11/23 منتشر شده است.
868 بـار بازدید شده
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