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The future of generative AI is uncertain as Goldman Sachs questions its actual value. Despite the hype, generative AI tools and platforms face challenges such as hallucinations, biases, and data security. Agencies are using sandboxes, internal task forces, and client contracts to navigate through these challenges. While generative AI has made its way into various areas, including search functionality and image creation, it is still in the testing phase.
Concerns around intellectual property, copyrights, and data disclosure persist. Agencies are taking steps to ensure data security and scalability, as well as addressing biases in AI. The industry is awaiting a societal consensus on the regulation of AI.
Brief news summary
The future of generative AI is uncertain as the actual value of AI tools is being questioned. Agencies are navigating through the influx of AI platforms and tools through sandboxes, internal AI task forces, and client contracts. Generative AI is still in its early stages and faces challenges such as hallucinations, biases, and data security. Despite the hype around generative AI, everything is still in testing mode. Intellectual property and copyright protection, as well as data disclosure, are concerns in the industry. Agencies are taking precautions by securing agreements with AI platforms, building sandbox environments, and protecting sensitive information. There is a need for consensus on AI regulation, and brands and agencies must establish guardrails to ensure data security and navigate biases.
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