The article discusses the issue of copyright infringement and lack of accountability in the AI industry. AI models are often trained on copyrighted data without permission, leading to legal actions and concerns about fairness. Decentralized AI networks offer a potential solution by allowing transparent governance and fair compensation for data usage. SingularityNET and the Artificial Superintelligence Initiative (ASI) are examples of decentralized platforms that prioritize data curation and model governance. These networks aim to involve a distributed collective in decision-making, ensuring traceability and accountability in the AI lifecycle. The decentralized AI movement seeks to address copyright issues and create a more inclusive and fair future for creators, developers, and AI users.



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