Harvard's public domain gambit
A deeper dive for corporate leaders
While lauded as a democratizing force in AI, Harvard's release of a massive public domain book dataset, funded by Microsoft and OpenAI, warrants a more critical analysis from discerning corporate executives and board members.
While seemingly benign, this initiative raises strategic concerns that extend beyond the superficial narrative of open access.
Let’s suppose, provided that this is accompanied by the mandatory requirement that the trained model accurately cite its sources, including verifiable page references, in the context of any LLM-generated text, as humans do for proper attribution and due credit. Yet, is this realistic?
The rise of generative AI tools like GPT presents a significant, yet often overlooked, threat: the potential for algorithmic amnesia to erase critical information and distort historical records.