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How to Secure AI Training Data

Unite.AI

AI training datasets may also be vulnerable to more harmful adversarial attacks. Cybercriminals can alter the reliability of a machine learning model by manipulating its training data if they can obtain access to it. Its an attack type known as data poisoning, and AI developers may not notice the effects until its too late.

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Mira Murati Launches Thinking Machines Lab: The Next Big AI Challenger

Unite.AI

Thinking Machines Lab is committed to openly publishing research, technical blog posts, and code, making AI advancements more accessible to the broader scientific community. A New Era of AI Development Unlike some AI companies that focus purely on proprietary models, Thinking Machines Lab emphasizes flexibility and adaptability.

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

Unite.AI

AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models. Why is data so critical for AI development in the healthcare industry?

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

AWS Machine Learning Blog

Responsible AI builds trust, and trust accelerates adoption and innovation. Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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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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Top AI Models are Getting Lost in Long Documents

Unite.AI

A new study from researchers at LMU Munich, the Munich Center for Machine Learning, and Adobe Research has exposed a weakness in AI language models : they struggle to understand long documents in ways that might surprise you. The road ahead for AI development in this area is both challenging and exciting.

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AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

Unite.AI

AI presents a new way of screening for financial crime risk. Machine learning models can be used to detect suspicious patterns based on a series of datasets that are in constant evolution. In turn, that could make it harder to keep any automated systems up to date.