As we continue to grapple with the explosion of Generative AI, this panel will explore the evolution of Responsible AI practices in enterprises to innovate with this technology while ensuring ethical, compliant, safe, and impactful deployment. As AI continues to shape industries, understanding and adapting to the evolving landscape practices are crucial for sustainable innovation.

Panelists will delve into:

• Navigating the rapidly changing world of Generative AI, how the risks posed have shifted the responsibilities for companies.

• Top priorities and challenges internally.

Anna Hannem

Vice President, Data & AI Risk
Scotiabank

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Emma Duckworth

Head of AI & Data Science
Haleon

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Mariagrazia Squicciarini

Chief of Executive Office, Social and Human Sciences Sector
UNESCO

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Syed Q Ahmed

Head of Responsible AI Office and Innovation Leader for AI
Infosys

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Maximizing Business Value Through AI Model Security: Addressing Key Threats, Embracing Adversarial Testing, and Driving Continuous Innovation.

Balakrishna (Bali) D R

Executive Vice President, Global Services Head, AI and Industry Verticals
Infosys

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This interactive session is for sharing case studies and discussing ideas. This is a chance for you & your peers to delve into the critical aspects of AI safety, responsibility, accountability, trust, internal culture, organisation, prioritisation, forming of dedicated RAI teams, and productivity.

Ben Tagger

Head of Data Science
Bupa

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Aneta Osmola

Global Risk Management
Scotiabank

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Martin Koder

AI Governance Lead
Swift

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The BBC has developed AI principles and a risk management framework to guide the corporation’s approach to the rapidly changing AI landscape. But turning key principles into practice means diving into the challenging world of evaluating the technical performance of AI. In this talk James and Oli will share the BBC’s emerging approach to AI evaluation, with practical examples of testing AI services and measuring public service values like representation and universality in personalised platforms such as iPlayer. 

Oli Elliott

Principal Data Scientist, Responsible AI
BBC

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James Fletcher

Responsible AI Lead
BBC

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Explore strategies to overcome bias and hallucinations in generative AI models for inclusive datasets. Learn how varying data governance leaders in leading organizations are:

• Employing diverse datasets and rigorous testing to identify and mitigate biases.

• Implementing ethical guidelines and validation processes to ensure inclusivity and fairness.

• Collaborating with diverse stakeholders to address ethical concerns and promote transparency.

Jules Ferdinand Pagna Disso

Director, Head of Cyber Risk Intelligence, Insider Technology Risk and Digital Asset Risk
BNP Paribas

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Penny Jones

Responsible AI Lead
Zurich Insurance UK

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Carol Wilson

Head of Data Ethics, Privacy and Records
Santander

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Paul Dongha

Head of Responsible AI & AI Strategy
NatWest Group

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Uthman Ali

Global Responsible AI Officer
bp

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Regulation plays a crucial role in shaping responsible AI practices within businesses.This talk explores the importance and updates of many global regulatory frameworks in driving compliance, mitigating risks, and fostering trust in AI applications.

• Keeping abreast of evolving AI regulations to ensure compliance and avoid legal repercussions.

• Establishing internal policies aligned with regulatory guidelines to promote responsible AI practices.

• Collaborating with regulatory bodies and industry peers to influence responsible AI policies.

Emily Campbell-Ratcliffe

Head of AI Assurance, Department for Science, Innovation and Technology
Department for Science, Innovation and Technology (DSIT)

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Sophia Ignatidou

Group ManaGroup Manager for Artificial Intelligence Policy
Information Commissioner’s Office

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Sarah Meyers

Group Manager
DRCF AI and Digital Hub

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Minesh Tanna

Partner and Global AI Lead, Simmons & Simmons; Chair, Society of Computers and Law (SCL) AI Group
Simmons & Simmons LLP

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In this talk, Daniele will dive deep into debunking some prevalent myths surrounding responsible AI, crucial for informed decision-making. By challenging these misconceptions, we can pave the way for ethical and effective AI practices.

Controversial opinions and discussion heavily encouraged – themes include:

• The use of impact assessments.

• The use and components of risk scoring.

• AI will take your job.

• AI and human intelligence.

• AI regulation will stifle innovation.

• Bias should always be eliminated.

• AI will be a competitive advantage.

Daniele Quercia

Director of Responsible AI
Nokia Bell Labs

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Join us for an engaging roundtable discussion focused on practical strategies for implementing responsible AI within organizations. Explore the concept of conscious adoption and the integration of responsible AI principles into organizational frameworks. From regulatory compliance to driving business value, we’ll discuss how a systems thinking approach can help navigate the complexities of responsible AI adoption. This session offers a platform for sharing insights and collaborating on effective and conscious approaches to embedding responsible AI across all layers of organizational operations.

Jason Smith

Chief Digital Officer
Publicis Groupe

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Will Anderson

VP of Product Innovation
Huge Inc.

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This session provides a comprehensive blueprint for Enterprise AI governance, illustrating how it serves as a key enabler of AI innovation rather than a hindrance. Based on our years of experience, we’ll highlight the journey organizations take from recognizing the need for responsible AI to establishing accountability structures, adopting tools, and ultimately standardizing governance practices. You’ll gain insights into where your organization stands on the AI governance maturity curve and how to efficiently scale these efforts. By implementing enterprise-wide governance powered by robust policies and tools, you can create a trusted AI infrastructure that maximizes ROI. Learn how to transform AI governance into a competitive advantage for your business.

Giovanni Leoni

Head of AI Governance Advisory
Credo AI

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This panel discussion will delve into the critical aspects of securing funding and buy-in for responsible AI initiatives, emphasizing the importance of demonstrating ROI, gaining a competitive edge, and mitigating legal risks for future savings.

• Showcasing tangible ROI: Highlighting cost savings, efficiency gains, and revenue opportunities from responsible AI implementation.

• Educating stakeholders: Emphasizing the competitive advantage and long-term benefits of ethical AI practices.

• Prioritising risk mitigation: Illustrating how responsible AI frameworks can prevent legal issues and financial losses.

Cecilia Nunn

Responsible AI Lead
Digital Catapult

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Oliver Patel

Enterprise AI Governance Lead
AstraZeneca

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Luke Vilain

AI Governance Lead
UBS

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Elena Maran

Global Head Financial Services and Responsible AI
Modulos AG

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Explore the vital synergy between Responsible AI and sustainability, focusing on AI’s environmental footprint. Delve into strategies for mitigating carbon emissions, optimizing energy efficiency, and promoting ethical AI practices to build a sustainable future.

• Implementing energy-efficient systems to minimize AI’s carbon footprint and contribute to environmental preservation.

• Leveraging renewable energy sources to power AI infrastructure and data centers, promoting sustainability in AI operations.

• Integrating sustainability metrics into AI development processes to measure and mitigate environmental impact, prioritizing green AI practices.

Paul Dongha

Head of Responsible AI & AI Strategy
NatWest Group

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Ever go to conferences hoping for practical insights that can actually help you do responsible AI better day to day, but come away empty handed after yet another high-level discussion about the EU AI Act? Well this session is for you. It will be interactive, it will be fun, and most of all it will be a chance to get answers to your burning questions about how to survive and thrive as a responsible AI practitioner doing it for real in the fast-changing, complex world of AI. 

Lead by the BBC's Responsible AI team

James Fletcher

Responsible AI Lead
BBC

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