Wrap-Up and Podcast Promotion

In this episode of the Edge of AI, dive into the cutting-edge future of artificial intelligence with Inês Hipolito at VERSES, unveiling incredible breakthroughs in creating ecosystems of intelligence and ethical AI. Learn about active inference, nature-inspired AI systems, and the crucial role of regulation and ethics. Understand the evolving landscape of AI ethics and the challenges and opportunities it presents.

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🔑 Key Takeaways: 

♦ Verses AI is a cognitive computing firm that focuses on developing advanced intelligent systems inspired by nature's wisdom. Their premier solution, Genius, is designed to turn varied data into unified knowledge models, empowering agents to adapt and reason in diverse contexts. VERSES aims to foster a world where technology and humanity work together, using a distributed form of intelligence and diverse forms of intelligence to create ecosystems where humans are an integral part.

♦ Ethical Considerations in AI Development: Embedding ethics into AI systems from the beginning ensures the right questions are asked and potential harms are considered.

♦ Active Inference and Nature-Inspired Intelligence: Active inference, derived from the free energy principle, leads to the development of AI systems inspired by nature's principles for continuous integration with the environment.

💬 Quotes from Inês Hipolito:

♦ You are empowering intelligent systems based on distributed forms of intelligence, and interestingly, making humans an integral part of those systems.

♦ Active inference is really about trying to mimic what happens in the biological world, where you have systems that are continuously interacting with the environment, trying to predict and adapt to it.

♦ Ethics should be embedded in the way that we design, in the way that we are actually programming these systems. It should be part of the guidelines.

If you're curious about web3 or AI technology, this episode is a must-watch for a deeper understanding of the future of AI and its impact on our world!

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