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A committee of MIT leaders and scholars has published a series of whitepapers aiming to shape the future of AI governance in the US. The release of these whitepapers signals MIT’s commitment to promoting responsible AIdevelopment and usage. You can find MIT’s series of AI policy briefs here.
In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous whitepaper. Two critical elements driving this digital transformation are data and artificial intelligence (AI). It helps to ensure consistent outputs.
I’m excited today to be talking about DataPerf, which is about building benchmarks for data-centric AIdevelopment. Why are benchmarks critical for accelerating development in any particular space? That’s what we are trying to do in order to accelerate data-centric AIdevelopment.
I’m excited today to be talking about DataPerf, which is about building benchmarks for data-centric AIdevelopment. Why are benchmarks critical for accelerating development in any particular space? That’s what we are trying to do in order to accelerate data-centric AIdevelopment.
The public wants more transparency, with 82% of consumers favouring businesses that proactively communicate how they are regulating general AI. However, 30% still don’t think increased AI regulation is actually for their benefit, indicating scepticism remains.
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