University of York Joins Turing University Network to Advance Responsible AI Development

In this post:

  • University of York joins Turing University Network to advance responsible AI.
  • Diverse expertise at York contributes to AI development across sectors.
  • Collaboration with Turing Institute enhances AI research for ethical and responsible innovation.

By joining the Turing University Network, the University of York has cemented its position as a safe and responsible artificial intelligence (AI) systems leader. This prestigious membership will enable the university to collaborate with the Alan Turing Institute and its extensive network to advance AI and data science research while focusing on these technologies’ responsible and ethical development.

The University of York boasts a multidisciplinary approach to AI and autonomy research, bringing together a diverse range of experts. These include computer scientists, mathematicians, sociologists, legal experts, philosophers, and industry specialists working collectively through the Institute for Safe Autonomy and across its three faculties.

The Turing University Network: A platform for collaboration

Membership in the Turing University Network provides UK universities with a keen interest in data science and AI the unique opportunity to engage and collaborate with the Alan Turing Institute and its broader network. The University of York’s participation is expected to enhance its ongoing AI research efforts, with specific areas of expertise and benefits including:

1. Safety assurance of AI-enabled autonomous systems: The university’s proficiency in ensuring the safety of AI-driven autonomous systems is a valuable asset. This expertise will contribute to the responsible development of AI technologies that can operate autonomously while minimizing risks.

2. UK leadership in quantum communications: York’s leadership in quantum communications positions it at the forefront of cutting-edge technology, offering insights into secure and efficient data transmission methods in the era of AI.

3. Development of communications networks: The university’s involvement in developing communication networks, including satellites and high-altitude platforms, supports the infrastructure required for AI applications and data transmission.

4. Underwater Mathematical research: York’s research in dynamic networks beneath the waves aligns with the ever-growing importance of AI in underwater exploration and monitoring.

5. Digital creativity, virtual, and augmented reality: As AI intersects with digital creativity, virtual, and augmented reality, the university’s expertise in these areas will help shape the future of immersive AI-driven experiences.

6. Intelligent games and engineering the metaverse: York’s contributions to intelligent games and metaverse engineering will be invaluable as AI continues transforming the gaming industry and virtual worlds.

7. Novel sensor and imaging development: The university’s work in sensor and imaging technology supports early diagnosis of diseases, a critical application of AI in healthcare.

8. Environment and sustainability: The University of York’s commitment to environmental and sustainability research aligns with the responsible use of AI to address global challenges.

A multidisciplinary approach to AI development

Professor Matthias Ruth, Pro-Vice-Chancellor for Research at the University of York, emphasizes the importance of collaboration across disciplines in AI development. He underscores the university’s expanding team of experts exploring data science and AI’s possibilities across various research areas, from microbial cell monitoring to AI-assisted language learning.

Fostering collaboration and sharing expertise

Professor Ibrahim Habli, Director of Research for the Assuring Autonomy International Programme and Deputy Head of the Department of Computer Science at the University of York, expressed delight at joining The Turing University Network. He anticipates that this membership will facilitate broader collaborations and knowledge-sharing within the network. Learning from peers and adopting best practices will accelerate breakthroughs and contribute positively to society.

Dr. Jean Innes, Chief Executive Officer of The Alan Turing Institute, welcomes the University of York and other new members to the network. She hopes these institutions will benefit from their association with the Institute and its network, fostering new, meaningful collaborations across the data science and AI landscape.

The University of York’s membership in the Turing University Network marks a significant milestone in its commitment to advancing responsible AI development. With its diverse expertise and dedication to ethical AI, the university is well-positioned to contribute to the responsible evolution of AI technologies, ensuring they serve society’s best interests. The collaboration with the Turing Institute and its network promises to drive innovation and shape the future of AI research and development in the UK and beyond.

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