Key Issues Emerging for AI Users
As lawsuits mount, experts say organizations using AI tools should pay closer attention to how those systems are trained.
Understanding data sources: Companies are increasingly expected to ask vendors how their models were built and whether licensed or human-curated data was used.
Reviewing AI-driven workflows: Documenting where and how AI tools generate content can help organizations respond quickly if questions arise about content origins.
Contract protections: Legal analysts say contracts with AI providers are likely to include stronger indemnity clauses to protect users if training data is later found to be infringing.
Responsible use policies: Clear internal guidelines on transparency, attribution and human oversight are becoming a baseline expectation rather than a best practice.
A Legal Storm Still Building
Adobe’s lawsuit is the latest sign that courts are becoming the battleground for defining how far AI developers can go when sourcing training data. As generative AI becomes embedded across industries, pressure is mounting for companies to open the black box and prove their models were built on lawful foundations.
For now, the Adobe AI pirated book suit stands as another marker in an escalating conflict — one that could reshape how artificial intelligence is trained, regulated and trusted in the years ahead.
