GAEA AI is excited to announce the launch of its new podcast series entitled GAEA TALKS focused on artificial intelligence. The inaugural episode features a compelling interview with Yi-Zhe Song, Professor of Computer Vision and Machine Learning at the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey.
In this insightful conversation, Professor Song shares his expertise on a range of critical AI topics, including:
- Defining AI: Professor Song offers a unique perspective on AI, describing it as a “human counterpart” that can communicate, assist with tasks, and empower individuals and enterprises.
- The Importance of Control: The discussion emphasises the crucial role of control in human-AI interaction. Professor Song highlights the need for individuals to maintain critical thinking and avoid becoming overly reliant on AI systems.
- Democratising AI: Professor Song advocates for democratising AI by making it accessible and affordable for everyone. He stresses the importance of developing AI models that can run on personal devices, ensuring privacy and security.
- Addressing Concerns about AI: The podcast delves into the potential risks associated with AI, such as misinformation, hallucinations, and the erosion of critical thinking. Professor Song underscores the need for public awareness and informed decision-making regarding AI adoption.
- The Future of AI: Professor Song shares his vision for the future of AI, emphasising the importance of inclusivity, trust, and ethical considerations. He calls for a collaborative approach to shaping the development and deployment of AI technologies.
“We are thrilled to launch this podcast series and provide a platform for experts like Professor Song to share their insights on AI,” said a spokesperson at GAEA AI. “We believe it is essential to foster open and informed discussions about AI to ensure its responsible and beneficial development for society.”
The first episode of the GAEA TALKS podcast series, featuring the interview with Professor Yi-Zhe Song, is available now on your preferred podcast platform and via podcasts page.
