The rise of generative artificial intelligence has allowed working professionals to delegate simple tasks and shift their focus to more important tasks. However, consulting firm Gartner reports that generative AI will also raise concerns about copyright infringement, slowing the adoption of the technology.
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Generative AI models need to be trained on large amounts of data, including content from the internet, as is the case with ChatGPT. This process results in many AI models generating answers based on the work of others, even if the original author has not explicitly given permission for her work to be used to train her AI model. It means that.
As a result, a number of organizations, including the New York Times, have taken legal action, claiming that the chatbots generated are infringing copyright. But as generative AI becomes the norm, companies will take a proactive approach, costing AI companies time and money.
Gartner predicts that by 2026, corporate defense spending to avoid the risk of intellectual property (IP) loss and piracy will slow the adoption of emerging technologies and reduce their profits.
“As GenAI progresses, regulators are scrambling to keep pace,” said Rita Salam, distinguished associate analyst at Gartner. “Intellectual property risk is not a new issue, but the risk of copyright infringement, which was previously a limited risk, can now potentially affect everyone in an organization.”
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Gartner also estimates that by 2028, more than 50% of companies that choose to build large language models from scratch will do so due to the cost, complexity, and technical debt required to maintain those models. I predict they will abandon that effort.
As a result, the company says chief data and analytics officers must balance their AI ambitions with their risk tolerance to maximize results. Salam added: “The key is to design open systems to switch between models as innovation requires.”