Anekanta®AI founder and CEO discusses the future of Responsible AI innovation in Sci-Tech Daresbury podcast
In a recent podcast hosted by Sci-Tech Daresbury, Pauline Norstrom, founder of Anekanta®AI, joined experts from IBM and the Science and Technology Facilities Council (STFC) to explore the future of Responsible AI. The discussion, led by Massimo Noro of STFC, focused on the ethical implications of AI as it rapidly transforms industries. The participants provided valuable insights on leadership readiness in an AI-driven world.
Key Contributors to the Discussion
The discussion centered on generative AI and its potential to tackle some of the world’s most pressing issues. However, with great potential comes great responsibility.
The podcast tackled a critical question: How can businesses and civic leaders ensure AI’s transition remains ethical while fostering innovation?
Participants included:
Rob Firth, Senior AI Research Scientist, STFC
Ed Pyzer-Knapp, Head of Research and Innovation (UK and Ireland), IBM
Pauline Norstrom, Founder and CEO, Anekanta®AI
Massimo Noro, Director of Business Development, STFC
The Importance of Leadership in AI Adoption
The podcast highlighted that leadership plays a crucial role in preparing for AI’s societal impact. Leaders need to not only understand the technology but also anticipate its effects on society. Ethical AI requires fairness and equity, and these principles must be embedded from the start. Collaboration between AI experts like Norstrom, corporations like IBM, and institutions like STFC is essential in building an AI-powered future that prioritizes ethical standards.
Key Topics Explored:
The role of both large and small language models (LLMs)
Quantum computing’s impact on AI
Qiskit and no-code coding solutions
The origins of algorithms
The importance of accelerated computing for AI functionality
Designing in Responsible AI
The Future of Responsible AI: Insights from Pauline Norstrom
Pauline Norstrom emphasised how organizations can integrate Responsible AI practices. At Anekanta®AI, the focus is on ensuring ethical AI development from inception to deployment. Norstrom highlighted key aspects such as traceability, explainability, and accountability throughout the AI system lifecycle. These features ensure that AI systems remain transparent and provide mechanisms for contestability and redress. The conversation also touched on how organizations can incorporate Responsible AI from the beginning, ensuring transparency, accountability, and fairness across the value chain.
Listen to the full podcast to gain deeper insights into the future of Responsible AI and leadership here.
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