Senior IS Project Manager| Baycare Health SystemsClearwater, Fl, United States
I have been hearing of the concerns that Actors and Writers are having where they think that AI will cause stagnation with an over reliance on less risky scripts and performances, diluting their entertainment quality. Some complain that AI encourages plagiarism. Are these concerns warranted and do you think these will overflow into your business area?
Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
I think some of those concerns will carry over, but in a different way. In entertainment, the fear is loss of originality and creative ownership. In business, the risk shows up as over-standardization and shallow thinking. When AI is used to optimize for speed, predictability, or “safe” outcomes, it can quietly reduce experimentation and judgment. That said, most industries are already structured around repeatability and risk control, so the impact is less visible than in creative fields. The real spillover risk isn’t plagiarism, it’s organizations outsourcing thinking to tools. Where companies stay clear on ownership, accountability, and decision rights, AI tends to amplify value rather than flatten it. Saving Changes...
Luis BrancoCEO| Business Insight, Consultores de Gestão, LdªCarcavelos, Lisboa, Portugal
My view is that concerns about AI in entertainment reflect deeper anxieties about purpose, value and control, not just technology. In creative industries the fear is that generative models will reinforce safe, predictable patterns at the expense of meaningful novelty. That is a valid concern but it is not an inevitable outcome of AI itself. It is a design and governance issue.
In business and industry the parallel risk is not “AI will replace good work” but that organizations will over-index on AI outputs without investing in human judgement, context and risk framing. If leaders use AI to cut cost or standardize decisions without explicit governance, quality will erode and innovation will stall. That is functionally similar to “less risky scripts” in entertainment.
Plagiarism or derivative outputs emerge when models are trained or used without respect for provenance, consent and creative ownership. Again this is not a flaw inherent to AI but to how it is structured and governed. In enterprise settings we see the same pattern when data lineage, accountability and ethical constraints are absent.
So yes, concerns in entertainment are warranted as early warnings. They overflow into business when AI is treated as a proxy for strategy, creativity or judgement rather than as a collaborator that amplifies human intelligence only under proper governance. The real challenge is building organizational capability to orchestrate human–agent work, to steward quality and to anchor AI use in clear value and ethical criteria. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
the point is: AI is a board term. they are surrounded by AI entities. in this case they are referring to generative AI. this type of AI created a break in the AI domain and demands put an eye in things like responsible AI. but at the end, nothing new below the sun. Saving Changes...
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