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Four investors explain why AI ethics can’t be an afterthought

TechCrunch

It’s reasonable to ask what role ethics plays in the building of this technology and, perhaps more importantly, where investors fit in as they rush to fund it. A founder recently told TechCrunch+ that it’s hard to think about ethics when innovation is so rapid: People build systems, then break them, and then edit.

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Colorado AI legislation further complicates compliance equation

CIO

The bill does not limit AI’s definition to any specific area, such as generative AI, large language models (LLMs), or machine learning. This is a complex and emerging technology and we need to be thoughtful in how we pursue any regulations at the state level. Governor Polis appreciates the leadership of Sen.

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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO

Now, manufacturing is facing one of the most exciting, unmatched, and daunting transformations in its history due to artificial intelligence (AI) and generative AI (GenAI). That’s how automation via AI-powered systems helps manufacturers identify areas of improvement and proactively deliver process enhancements and better business outcomes.

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Generative AI: the Shortcut to Digital Modernisation

CIO

As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. Notably, organisations are now turning to Generative AI to navigate the rapidly evolving tech landscape.

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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. We’ll review methods for debugging below.