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• AI-generated code can increase productivity and reduce errors, but may also pose significant risks to businesses and users if not properly regulated and tested.
• Clear contracts and due diligence are necessary when working with third-party AI tools and data sets to ensure quality and security.
• The use of AI in software development requires a balance between speed and efficiency and quality and security.
• The speaker suggests that AI-assisted coding may be a more effective approach than relying solely on AI-generated code.
• The presentation also touches on the broader issues of data privacy and intellectual property rights in the context of AI and big data.