How generative AI is muddying copyright laws – what businesses need to know

This article was first published by Digiday sibling Worklife
Elon Musk and almost 4,000 high-profile signatories, including engineers from Amazon, DeepMind, Google, Meta, and Microsoft, attempted to halt the giddying acceleration of generative artificial intelligence in an open letter published in late March.
“Recent months have seen AI labs locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one – not even their creators – can understand, predict, or reliably control,” read the letter. “Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable.”
Everyone should take note when the brightest human – rather than machine – minds are demanding progress be paused. But has the bot not already bolted? And considering the possible competitive advantages if rivals opt to down AI tools, will the temptation to continue pushing the boundaries of technology beyond their current limits not be too irresistible for business leaders?
Many have wasted little time embracing ChatGPT, a large-scale language model fed 300 billion words by developer OpenAI that is “confidently incorrect,” and DALL-E, a similar tool that generates images rather than words. While interest has surged in the former, potentially the bigger, creepier issues are around the latter, specifically copyright infringements.
To read the full article over on WorkLife click here.
More in Media

Bleacher Report puts a fan-first spin on NFL coverage
Bleacher Report has 25 different show formats that will roll out throughout the NFL season and is forecasting a 50% revenue hike.

WTF is Model Context Protocol (MCP) and why should publishers care?
Model Context Protocol (MCP) is a buzzword gaining more traction, especially as publishers think about how to prepare for the agentic web. WTF is it, and why should they care?

Publishers and advertisers face new AI agent oversight hurdles
Who is really in control when agents are instructing other agents, and who is accountable if they make mistakes? That question is keeping some media and ad execs up at night.