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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

Driving innovation for tax agencies with trust in mind Tax or revenue management agencies are a part of the public sector that might likely benefit from the use of responsible AI tools. Generative AI can revolutionize tax administration and drive toward a more personalized and ethical future.

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CMA sets out principles for responsible AI development 

AI News

Collaboration between businesses, government, academia and industry experts is crucial to strike a balance between safe regulations and guidance that can lead to the positive development and use of innovative business AI tools. The post CMA sets out principles for responsible AI development appeared first on AI News.

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Understanding Shadow AI and Its Impact on Your Business

Unite.AI

Heres what AI is doing in day-to-day life: Saving time by automating repetitive tasks. Creating content through AI tools for marketing and customer service. All these benefits make it clear why businesses are eager to adopt AI. But what happens when AI starts operating in the shadows?

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NEPC: AI sprint risks environmental catastrophe

AI News

A report published today by the National Engineering Policy Centre (NEPC) highlights the urgent need for data centres to adopt greener practices, particularly as the government’s AI Opportunities Action Plan gains traction. Raising public awareness is also vital. If we cannot measure it, we cannot manage it, nor ensure benefits for all.

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World Economic Forum unveils blueprint for equitable AI 

AI News

Public-private subsidies to make AI-ready devices more affordable present another equitable way forward. These mechanisms aim to lower barriers for local businesses and innovators, enabling them to adopt AI tools and scale their operations.

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Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

Unite.AI

However, poor data sourcing and ill-trained AI tools could have the opposite effect, leaving providers to instead spend an inordinate amount of time fixing errors and re-writing notes. Additionally, bias is a significant risk associated with AI algorithms, and quality data can play a key role in mitigating healthcare disparities.