Unlike the food industry, AI lacks comprehensive regulation. This gap leaves much room for ambiguity and potential misuse of data.
The recent EU AI Act, which includes provisions for transparency labeling, is a step in the right direction. It acknowledges the need for clear guidelines and accountability in AI development.
Regulations are crucial for enforcing data transparency and accountability, ensuring that companies adhere to best practices and ethical standards.
By implementing robust regulatory measures, we can safeguard against the risks associated with opaque AI systems.
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The rapid advancement of artificial intelligence (AI) has brought significant benefits to society, but it also poses considerable risks. This article explores the complexities and challenges of AI systems, drawing analogies to food safety to highlight the need for transparency and accountability. It delves into the current state of AI, the importance of understanding data quality, and offers principles for fostering a healthier relationship with AI technologies.
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