Speaker Spotlight • 5 June 2026 • By AI Conference London Editorial

Speaker Spotlight: Top Voices at AI World Congress 2026

Discover the groundbreaking insights and visionary leaders shaping the future at AI World Congress 2026. Get ready to be inspired!

Speaker Spotlight: Top Voices at AI World Congress 2026 – AI World Congress 2026, London, 23-24 June 2026

The relentless pace of artificial intelligence development continues to reshape industries, creating both unprecedented opportunities and complex challenges. As organisations navigate this new terrain, the insights of leading researchers, policymakers, and practitioners become indispensable. The upcoming AI World Congress 2026 in London this June aims to provide that essential clarity, convening some of the most influential minds in the field.

Dr Anya Sharma: Navigating the Generative AI Enterprise Landscape

Dr Anya Sharma, Chief AI Scientist at a leading global technology firm, has become a pivotal voice in the transition of generative AI from experimental pilots to scalable enterprise solutions. Her work centres on the practicalities of embedding large language models (LLMs) and diffusion models into core business processes, focusing on value generation while managing inherent risks. Dr Sharma’s research quantifies the productivity gains in areas like software development and customer service, offering data-driven frameworks for organisations to justify investment and measure return. Her keynote will explore the critical infrastructure, talent, and data governance needed to move beyond standalone chatbots to deeply integrated, AI-powered platforms. Source

Beyond the technical implementation, Sharma is a staunch advocate for responsible AI deployment, particularly concerning the ethical quandaries posed by generative systems. She addresses the "black box" problem, proposing methodologies for increasing model transparency and explainability, which are crucial for regulated industries like finance and healthcare. Her work also tackles the pressing issues of data privacy, intellectual property rights in AI-generated content, and the potential for algorithmic bias to be amplified at scale. Attendees at the London event can expect a session that balances blue-sky potential with the pragmatic, on-the-ground challenges of making generative AI a trusted and productive corporate asset. Source

Professor Kenji Tanaka: The Convergence of Robotics and Embodied AI

The theoretical concept of embodied intelligence—AI systems that can learn and interact with the physical world—is rapidly becoming a reality, thanks to pioneers like Professor Kenji Tanaka. His laboratory’s work on reinforcement learning and robotics is breaking new ground in how machines perceive, navigate, and manipulate their environments. Professor Tanaka’s research has moved beyond simulated environments, demonstrating how robots can acquire complex skills through trial and error in real-world settings, a process that is far more challenging due to the unpredictability of physics and sensory input. Source

Professor Tanaka’s influence extends into industrial applications, particularly in advanced manufacturing and logistics, where autonomous systems are revolutionising operations. He has led projects on developing collaborative robots ("cobots") that can work safely and intuitively alongside human workers, adapting to dynamic tasks that were previously difficult to automate. His presentation will delve into the fusion of AI a nd digital twin technology, where virtual models of physical assets are used to train and optimise robotic behaviour before deployment. This approach significantly reduces development time and improves the robustness of AI in critical sectors of the economy. Source

Dr David Chen: Demystifying Quantum Machine Learning's Future

While most of the industry focuses on current AI paradigms, Dr David Chen is a leading researcher on the frontier of what comes next: Quantum Machine Learning (QML). As head of the Advanced Computing Lab at a major research institution, his work explores how the principles of quantum mechanics could overcome the limitations of classical computing for certain types of AI problems. Dr Chen’s area of specialisation involves developing quantum algorithms that could, in theory, analyse vast and complex datasets far beyond the capacity of today’s supercomputers, potentially revolutionising fields like materials science and pharmaceutical research. Source

Dr Chen is recognised for his ability to translate a deeply complex and theoretical subject into strategic business context. He is clear that widespread, fault-tolerant quantum computers are still years away, but argues that organisations must begin to understand the potential disruption and identify "quantum-ready" problems. His session at the AI World Congress 2026 is designed not for quantum physicists, but for technology leaders and strategists. He will outline the near-term and long-term outlook for QML, explain the types of optimisation and simulation problems it is best suited for, and provide a framework for assessing when and how to engage with this nascent but transformative technology. Source

Maria Petrova: Charting a Course Through Global AI Regulation

As AI's capabilities expand, so does the attention of governments and regulatory bodies worldwide, creating a complex and often fragmented legal landscape. Maria Petrova, a former government advisor and now a partner at a top global policy consultancy, is one of the world's foremost experts on AI governance and public policy. She provides critical guidance to multinational corporations on how to align their AI strategies with evolving regulations, from the European Union's risk-based AI Act to the UK's more "pro-innovation," context-specific approach. Source

Petrova’s analysis emphasises the need for organisations to build adaptable and transparent compliance frameworks rather than waiting for legal certainty. She will speak on the practical implementation of principles laid out in frameworks like the US National Institute of Standards and Technology (NIST) AI Risk Management Framework, which focuses on trustworthiness, accountability, and fairness. Her talk is expected to be a cornerstone of the conference’s business and strategy track, providing an essential briefing for any leader deploying AI solutions that operate across international borders. The full Day 1 and Day 2 agenda will feature further sessions on this critical topic. Source

Dr Ben Carter: Accelerating Life Sciences with Predictive AI

The impact of artificial intelligence in healthcare and life sciences is profound, and Dr Ben Carter is at the cutting edge of this revolution. His research group has been instrumental in developing predictive models that drastically shorten the timeline for drug discovery and development. By using AI to analyse complex biological data, including genomic and proteomic information, his team can identify promising molecular compounds and predict their efficacy and potential side effects with a speed and accuracy previously unimaginable. This work builds on foundational breakthroughs like Google DeepMind's AlphaFold, applying similar principles to a broader range of biomedical challenges. Source

Dr Carter’s work also extends to clinical diagnostics, where he has pioneered the use of deep learning algorithms for interpreting medical imaging. His models have demonstrated the ability to detect signs of disease in X-rays, MRIs, and retinal scans with a level of precision that can match or even exceed that of human experts. This not only enhances the accuracy of diagnoses but also helps to alleviate the workload on radiologists and other medical professionals. His presentation will illuminate how AI is moving from a research tool to an indispensable clinical partner, creating a new paradigm of personalised and preventative medicine. You can learn more about other thought leaders by viewing the full list of AI World Congress 2026 speakers. Source

Chloe Dubois: Redefining Creativity and Media in the AI Era

The rise of generative AI has sent shockwaves through the creative industries, sparking debates about authorship, style, and the very nature of art. Chloe Dubois, an artist and researcher, brings a nuanced perspective to this conversation, exploring AI not as a replacement for human creativity but as a powerful new collaborative tool. Her work investigates how authors, musicians, and filmmakers can use AI to augment their workflows, generate novel ideas, and push the boundaries of their respective media. She moves the discussion beyond simple image and text generation to a more sophisticated look at AI's role in interactive storytelling and emergent media formats. Source

Dubois is also a critical voice on the ethical implications of creative AI, examining issues of copyright for training data, the homogenisation of style, and the economic impact on creative professionals. She advocates for frameworks that protect artists while still fostering innovation, a balance that the industry is currently struggling to find. Her session promises to be a thought-provoking exploration of how AI is fundamentally changing the business and craft of media, moving beyond the hype to analyse the real-world opportunities and challenges for one of the UK’s most vital economic sectors. To stay informed on this and related topics, check out more AI news from our editorial team. Source

Omar Al-Jamil: Harnessing AI for Global Sustainability Goals

Amid growing concerns about climate change, AI is emerging as a critical technology for developing effective solutions. Omar Al-Jamil, an environmental scientist and AI specialist, leads a non-profit initiative focused on applying machine learning to the world’s most pressing ecological challenges. His team develops complex AI models to improve the accuracy of climate change projections, optimise the distribution of renewable energy across power grids, and monitor deforestation and biodiversity loss in real-time using satellite imagery. Source

Al-Jamil's work provides a compelling counter-narrative to the concerns about the significant energy consumption of large AI data centres. He demonstrates that when applied correctly, AI's ability to solve vast optimisation problems can lead to net-positive environmental outcomes across entire industries, from sustainable agriculture to efficient global supply chains. His presentation will offer a hopeful yet pragmatic look at how AI can be a powerful ally in the fight for a sustainable future, highlighting case studies where technology is directly contributing to corporate and governmental Environmental, Social, and Governance (ESG) objectives. It is an unmissable session for those looking to align their technology strategy with long-term global goals. Source

Frequently Asked Questions

When and where will the AI World Congress 2026 take place?

The AI World Congress 2026 is scheduled for 24–25 November 2026. It will be held at a premier conference venue in London, United Kingdom. More details about the location are available on the event website.

Are the speaker sessions aimed at a technical or business audience?

The programme features multiple tracks designed to cater to a diverse audience. There are deeply technical sessions for data scientists and engineers, as well as strategic talks focused on business leadership, policy, and investment. The official agenda provides details on the target audience for each session.

Will recordings of the speaker sessions be available after the event?

Yes, registered attendees will typically have access to session recordings for a limited time after the conference concludes. This allows participants to catch up on any parallel sessions they may have missed.

How is the speaker lineup for the conference chosen?

The speaker lineup is curated by an expert advisory board that identifies leading academics, industry pioneers, and influential policymakers. The selection process prioritises individuals with demonstrable expertise, original research, and a significant impact on the field of artificial intelligence to ensure the highest quality of content for attendees.

Can I see the full schedule for the speakers?

The preliminary schedule is available on the conference website. A detailed Day 1 and Day 2 agenda, including specific timings and room assignments for each speaker, will be published closer to the event date. Registered attendees will receive notifications as the schedule is finalised.

Bibliography

  1. Gartner. "Gartner Experts Answer the Top Generative AI Questions for Your Enterprise". https://www.gartner.com/en/articles
  2. Deloitte Insights. "The State of Generative AI in the Enterprise: Now decides next". https://www.deloitte.com/global/en/issues/trust/state-of-generative-ai-in-the-enterprise.html
  3. Stanford University Human-Centered Artificial Intelligence (HAI). "Research - Stanford HAI". https://hai.stanford.edu/research
  4. UK Government. "AI regulation: a pro-innovation approach". https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach
  5. European Commission. "Regulatory framework proposal on artificial intelligence". https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
  6. OECD. "OECD.AI Policy Observatory". https://www.oecd.org/digital/artificial-intelligence/
  7. Google AI Blog. "The latest research from Google AI". https://ai.googleblog.com/
  8. World Economic Forum. "Artificial Intelligence Agenda Archive". https://www.weforum.org/agenda/archive/artificial-intelligence/
  9. Anthropic. "Research by Anthropic". https://www.anthropic.com/research
  10. The Economist. "Artificial Intelligence Coverage". https://www.economist.com/artificial-intelligence

The convergence of these diverse and authoritative voices promises to make AI World Congress 2026 an essential event for anyone serious about understanding and shaping the future of artificial intelligence. To secure your place among industry leaders and gain firsthand access to these insights, you can register for the AI conference London today.