What ChatGPT And Generative AI Mean For Your Business? — from forbes.com by Gil Press [behind a paywall]


Challenges abound with deploying AI in general but when it comes to generative AI, businesses face a “labyrinth of problems,” according to Forrester: Generating coherent nonsense; recreating biases; vulnerability to new security challenges and attacks; trust, reliability, copyright and intellectual property issues. “Any fair discussion of the value of adopting generative AI,” says Forrester, “must acknowledge its considerable costs. Training and re-training models takes time and money, and the GPUs required to run these workloads remain expensive.”

As is always the case with the latest and greatest enterprise technologies, tools and techniques, the answer to “what’s to be done?” boils down to one word: Learn. Study what your peers have been doing in recent years with generic AI. A good starting point is the just-published All-in On AI: How Smart Companies Win Big with Artificial Intelligence.

Also relevant/see:

Generative AI is here, along with critical legal implications — from venturebeat.com by Nathaniel Bach, Eric Bergner, and Andrea Del-Carmen Gonzalez


With that promise comes a number of legal implications. For example, what rights and permissions are implicated when a GAI user creates an expressive work based on inputs involving a celebrity’s name, a brand, artwork, and potentially obscene, defamatory or harassing material? What might the creator do with such a work, and how might such use impact the creator’s own legal rights and the rights of others?

This article considers questions like these and the existing legal frameworks relevant to GAI stakeholders.