As AI reshapes industries at an unprecedented pace, understanding how Responsible AI practices in enterprise have evolved is crucial. This opening panel explores the recent history of Responsible AI, unpacking key milestones, challenges, and opportunities that have defined its journey. Gain actionable insights to align your organization with the principles of ethical AI development and deployment.

-           Examining pivotal moments shaping the Responsible AI landscape and their implications for today’s enterprises.

-           Understanding how to embed ethical considerations into AI systems while balancing innovation and accountability.

-           Learning strategies to future-proof AI initiatives by addressing transparency, fairness, and stakeholder trust.

Emma Johnson

Executive Director, Head Responsible AI, Data Ethics
Standard Chartered Bank

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Chris Carothers

Director of Responsible AI
Sanofi

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Fernanda Del Castillo

Director, AI Governance
Mastercard

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Mandanna Appanderanda

Head of Infosys Responsible AI Office, Americas
Infosys

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As AI agents become integral members of the workforce, the question is no longer if they can work alongside us, but how they should. This keynote explores how organizations can move beyond technical deployment to culturally aligned integration - treating AI agents not just as tools, but as teammates. From embedding human values into autonomous systems to designing governance frameworks that reflect team ethics, this session unpacks the playbook for onboarding AI the right way - responsibly, transparently, and with trust at the core.

Syed Q Ahmed

Global Head of Infosys Responsible AI
Infosys

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As AI models become integral to business operations, ensuring their reliability, fairness, and compliance is essential. This session explores best practices for managing model risks, minimizing failures, and embedding governance to drive responsible AI innovation.

-           Establishing a comprehensive model governance framework to monitor performance, bias, and ethical compliance effectively.

-           Conducting rigorous risk assessments, stress-testing models under diverse scenarios to identify vulnerabilities.

-           Implementing continuous validation protocols to ensure alignment with evolving regulations and organizational goals.

Dhagash Mehta

Head of Applied AI (AI, GenAI, Responsible AI) Research
BlackRock

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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.

-       Discussing the changes of the Trump administration; and the current jurisdictional approaches.

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

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

Kuljit Bhogal

Director, Corporate Counsel (AI Governance and Privacy)
Walmart Canada

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Aveen Sufi

Director Privacy Operations | Legal
Scan

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Tomer Poran

Vice President of Strategic Marketing & Chief Evangelist
ActiveFence

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Chris Carothers

Director of Responsible AI
Sanofi

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Establishing a data ethics framework is critical for responsibly governing how data is utilized, processed, and leveraged to train and deploy AI systems. In this talk, Kellye-Rae will explore strategies for building AI governance structures from scratch, ensuring transparency with partners, and embedding ethical practices across the organization.

• Developing governance processes to responsibly manage data collection, processing, and use in AI systems.
• Conducting thorough due diligence with AI partners, focusing on accountability, transparency, and robust engagement terms.
• Creating internal tools to standardize procurement, legal, and operational processes with ethical data practices.

Kellye-Raé Campbell

Global Head of Privacy, AI & Data Protection Regulations
Digicel Group

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Unlike some industries, responsible AI and model risk management isn’t new but generative AI has posed new, wider challenges. This panel will explore how financial institutions are deploying AI responsibly while fostering trust, mitigating risks, and maintaining competitive advantage.

-           Developing transparent AI systems to enhance fairness in credit scoring, fraud detection, and decision-making processes.

-           Aligning AI strategies with evolving financial regulations to avoid compliance pitfalls and reputational risks.

-           Implementing robust monitoring and auditing practices to identify and mitigate biases and systemic risks in real-time.

Brian Stucky

Senior Advisor, Mortgage Bankers Association MISMO
Rock Central

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Mery Mehrnaz Zadeh

SVP AI Governance & Risk Consulting
Lumenova AI

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Vineet Agrwal

Head of 2nd Line: AI Risk Mgmt., Cyber, Tech & Resilience
American Express

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Shone Mousseiri

Director of AI Validation and Governance
Manulife

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As regulatory frameworks evolve, businesses face increasing pressure to ensure third-party AI systems meet ethical and legal standards. This session will delve into the complex dynamics between developers, deployers, and users, exploring strategies for navigating liability, compliance, and accountability in uncertain regulatory environments.

-           Establishing clear contracts and accountability frameworks to address liabilities in third-party AI system deployments.

-           Developing robust evaluation processes to assess vendor compliance with ethical and regulatory requirements.

-           Implementing continuous oversight to align third-party systems with emerging laws and organizational responsibility standards.

Aneta Osmola

Vice President Data and AI Risk
Scotiabank

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Generative AI has unleashed a tidal wave of content — vast, fast, and often unchecked. While this explosion of AI-generated material promises unprecedented creativity and efficiency, it also conceals a looming risk: A flood of non-compliant, off-brand, and potentially harmful content threatening enterprise integrity, customer trust, and regulatory standing.

In this session, we’ll explore why, in the age of AI, content governance is no longer a nice-to-have — it’s mission-critical. 

• The hidden dangers of the AI content explosion — from compliance pitfalls to brand erosion.
• How leading organizations are embedding AI guardrails, automating quality assurance, and transforming content governance from a reactive burden into a proactive enabler of innovation.
• Key steps to future-proof your content supply chain. Learn to leverage existing AI investments while building the workflows, governance, and accountability frameworks needed to thrive.

Generative AI is rewriting the rules of content creation. Without governance, it can just as easily write your next risk report. Discover how to harness AI’s power — safely, responsibly, and compliantly — before the wave hits.

Curt Raffi

Chief Product Officer
Acrolinx

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Transforming Responsible AI (RAI) principles into actionable governance frameworks is a daunting yet essential challenge for large enterprises. This session shares an in-depth journey of implementing RAI governance, highlighting practical strategies to operationalize accountability, ethics, and compliance at scale.

-           Designing governance frameworks tailored to organizational structures, ensuring clarity in roles and responsibilities.

-           Building cross-functional collaboration to embed RAI principles into workflows, decision-making, and product development.

-           Leveraging scalable tools and metrics to monitor, assess, and continuously improve AI governance practices.

Aditya Anne

Senior Director, Enterprise AI Governance
Cibc

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As brands adopt AI to innovate content creation, maintaining authenticity and ethical responsibility becomes paramount. This session explores how businesses can leverage Responsible AI to create impactful, trustworthy content while safeguarding brand values and consumer trust.

-           Integrating Responsible AI practices to balance creativity with ethical standards and brand authenticity.

-           Utilizing transparency measures like watermarking and explainability to build trust in AI-generated content.

-           Fostering innovation through collaborative design processes that align AI outputs with brand identity and consumer values.

John T. Renz

VP, Head of Creative, US Businesses
Prudential

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As AI reshapes IT and data functions, risk-averse organizations face a delicate balancing act. This fireside chat between Tammye and Brian explores how institutions can responsibly evolve IT processes, develop talent, and embrace AI as an enabler—while navigating shifting guardrails and uncertain technological landscapes.

-       Building a collaborative, transparent IT culture to manage AI's rapid evolution and inherent risks effectively.

-       Upskilling teams to understand AI tools, fostering responsibility without requiring deep technical expertise.

-       Developing adaptive governance and data processes that keep pace with emerging AI technologies and challenges.

Tammye Garrett-Feeley

Chief Data Officer
UT Southwestern Medical Center

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Brian Evans

Chief Enterprise Architect
UT Southwestern Medical Center

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HCA is at the forefront of Responsible AI, shaping frameworks that safeguard patient outcomes and empower the healthcare industry. This session highlights how HCA combines internal innovation, governance excellence, and industry collaboration to lead the Responsible AI charge.

• Developing AI governance frameworks to ensure ethical practices and safeguard patient outcomes across applications. 
• Fostering internal innovation by building AI systems aligned with healthcare-specific challenges and opportunities. 
• Leading industry collaboration by establishing policies and sharing best practices for Responsible AI adoption.

Michelle Grajales

Director, Responsible AI Program
HCA Healthcare

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