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Generative AI is reshaping industries by enabling new forms of creativity, from generating content to driving product innovation. In Belgium, businesses are beginning to explore the potential of generative AI tools, like OpenAI's GPT and DALL·E, to augment creativity and accelerate design processes. These technologies can create everything from marketing copy and advertisements to novel product designs and prototypes, significantly reducing time-to-market.
However, as Belgian companies integrate these tools into their workflows, they must grapple with critical issues surrounding data control, intellectual property (IP), and ethical concerns. A study by the European Commission on AI ethics highlights the need for clear guidelines to ensure the protection of proprietary data, as well as transparency and accountability in AI-generated outputs. Furthermore, companies must consider the legal landscape, as generative AI challenges traditional notions of ownership, particularly when AI models are trained on vast datasets that might include copyrighted or sensitive material.
This session will address how organizations can maximize the creative potential of generative AI while safeguarding their data and intellectual assets. How can companies navigate the complexities of data protection and IP law in this rapidly evolving technological environment?