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AI coding agents come with legal risk

CIO

AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. AI-powered coding agents will be a step forward from the AI-based coding assistants, or copilots, used now by many programmers to write snippets of code.

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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Smart Data Collective

As it stands, intellectual property law is partly prepared to tackle this. Businesses might get stuck in needless intellectual property conflicts—a ‘legal minefield,’ as legal experts say. According to the World Intellectual Property Organization (WIPO), as it stands, the world currently has two legal options to rely on.

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The key to operational AI: Modern data architecture

CIO

In leveraging Verta’s platform, Cloudera is now equipped to simplify the process of bolstering customers’ private datasets to build custom retrieval-augmented generation (RAG) and fine-tuning ​applications​.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

How long might it be before a hacker group unlocks your data and intellectual property, perhaps already harvested with or without your knowledge, and potentially uses that data for harm? Things will get worse. What will your protection be against quantum computing attacks on your data?

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New trade body wants to license training data for AI use

CIO

Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectual property.

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EU taps AI experts to develop compliance framework for AI regulations

CIO

This could force companies to share sensitive information, raising concerns over intellectual property and competitive advantage. For instance, the transparency and copyright working group is expected to play a key role in shaping AI governance, particularly by setting standards for the disclosure of data used to train AI models.

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Overcoming data compliance and security challenges in the age of AI

CIO

Without proper data governance, transparency, and security, customer data, intellectual property, or other sensitive corporate information can be fed into LLM models, risking unintended data leakage. AI technologies may include multiple components and data sources, which can also lead to questions regarding data residency.

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