Remove topic subject government-policy-and-regulation
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

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The AI rules that US policymakers are considering, explained

Flipboard

And the federal government is finally getting serious about AI. The White House announced a suite of artificial intelligence policies in May. Independent regulators like the Federal Trade Commission have been going public to outline how they plan to approach the technology. AI is getting seriously good.

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Are There Examples of Overhang for Other Technologies?

AI Impacts

1 Here is the concern as I understand it: Suppose a policy were put in place tomorrow that banned all progress in AI capabilities anywhere in the world for the next five years. It is possible for there to be a pause in progress for the technology itself, perhaps due to regulation or war, without there being a pause in progress for the inputs.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry. In 2017, additional regulation targeted much smaller financial institutions in the U.S. The growing attention around regulation leads us to assess the concept of “model risk.”

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The EU’s Corporate Sustainability Reporting Directive explained

IBM Journey to AI blog

CSRD will be mandatory for all large European companies and companies listed on the EU regulated markets, including EU subsidiaries of non-EU parent companies. Companies that are already subject to the NFRD will need to report on 2024 data (reporting year 2025).

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Product safety is a poor model for AI governance

AI Impacts

People with a firm understanding of AI safety may find it too basic, though they may be interested in knowing which kinds of policies I have been encountering or telling me if I've gotten something wrong. I have recently encountered many proposals for policies and regulations intended to reduce risk from advanced AI.

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CDS Professors He He & Kyunghyun Cho Lecture at Oxford Machine Learning Summer School

NYU Center for Data Science

The summer courses are designed for global participants to gain cutting-edge knowledge on advanced topics in deep learning. They cover developing areas, particularly those with applications to the United Nations’ sustainable development goals (SDGs). Read our interview with the CDS professor below!