In this of the Responsible AI Report, Patrick speaks with Jeff Redel, Managing Director of the Data and AI governance team at ATB Financial. They discuss the evolution of AI agents, the importance of ethical implementation in banking, the skills financial professionals will need in the future, the necessity of human oversight in AI processes, and the regulatory challenges that accompany the rapid advancement of AI technology. Jeff emphasizes the need for a strong foundation in data governance and ethics, as well as the importance of education and adaptability for team members in the face of AI integration.

Takeaways

• AI is evolving from simple tools to sophisticated agents.
• Ethics and data governance are foundational for AI implementation.
• Education and training are crucial for team members.
• Data literacy is essential for effective AI use.
• Human oversight is necessary for decision-making with AI.
• AI agents improve performance but require human input.

Learn more at:
https://www.atb.com/personal/
https://www.linkedin.com/in/jeff-redel-2097291/

Jeff Redel is the Managing Director of ATB Financial’s Data & AI Governance team. His team focuses on ethical and responsible AI, data governance excellence, and strategic leadership and vision. Key areas include championing fairness and inclusivity, prioritizing transparency and explainability, upholding privacy and security, promoting responsible AI use, establishing data quality and integrity, ensuring data security and compliance, driving data literacy and accessibility, optimizing data management and architecture, aligning data and AI with business goals, fostering collaboration and communication, promoting a culture of innovation and learning, and building a high-performing team.

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In this episode of the Responsible AI Report, Patrick speaks with Amy Challen, the Global Head of AI at Shell. They discuss the current landscape of AI, including the ethical considerations in AI development, the importance of risk management, and the public discourse surrounding responsible AI. The conversation highlights the need for a balanced approach to AI innovation and the role of leadership in navigating these challenges.

Takeaways

• The development of AI must serve humanity's interests.
• Ethical considerations are crucial in AI and AGI development.
• Different countries address AI risks in varied ways.
• Public discussions on AI often overlook everyday ethics.
• AI risks should be assessed pragmatically and holistically.
• Technological innovation requires public and private partnerships.
• Responsible AI is a collective effort across industries.

Learn more at:
https://www.shell.com/what-we-do/digitalisation/artificial-intelligence.html

Amy Challen is the Global Head of Artificial Intelligence at Shell, responsible for driving delivery and adoption of AI technologies, including natural language processing, computer vision, and deep reinforcement learning.

She spent the first decade of her career in academia as a researcher in applied econometrics, before joining McKinsey & Company as a strategy consultant. As a consultant she solved real-world problems across diverse functions and industries, for some of the world’s largest organizations, delivering significant commercial value. She joined Shell in 2019.

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In this episode, Patrick speaks with Brian McGowan and Chris Jambor from KPMG about the importance of responsible AI practices. They discuss the limitations of AI models, the development and significance of AI system cards, and how these tools can help mitigate risks associated with AI technologies. The conversation emphasizes the need for a structured approach to AI governance and the role of transparency and accountability in building trust in AI systems.

Takeaways

• AI tools are evolving rapidly and need proper guardrails.
• AI system cards provide a structured way to assess AI systems.
• Transparency and explainability are crucial in AI governance.
• System cards help improve AI literacy in the workplace.
• A trust score helps users understand AI system performance.
• AI governance must be scalable and adaptable to technology changes.
• Robust testing and validation are key to responsible AI.

Learn more at:
https://kpmg.com/xx/en/what-we-do/services/kpmg-trusted-ai.html

Bryan McGowan is a Principal in the KPMG Advisory practice and leader of US Trusted AI for Consulting. In this role, Bryan continues to expand his passion of leveraging technology to drive efficiency, enhance insights, and improve results. Trusted AI combines deep industry expertise across the firm’s Risk Services, Lighthouse, and Cyber businesses with modern technical skills to help business leaders harness the power of AI to accelerate value in a trusted manner—from strategy and design through to implementation and ongoing operations. Bryan also leads the Trusted AI go-to-market efforts for the Risk Services business and co-developed the firm’s Risk Intelligence product suite to help identify, manage, and quantify risks across the enterprise. His primary focus areas are business process improvement, control design and automation, and managing risks associated with emerging technologies. Bryan has over 20 years’ experience running large, complex projects across a variety of industries. This includes supporting clients on their automation and analytics journey for the better part of the last decade—designing and developing bots, RPA, initial AI/ML models, and more.

Chris is a member of the KPMG AI & Digital Innovation Group's Trusted AI Team with a specialized focus on AI literacy and the responsible & ethical uses of AI. Before joining the Trusted AI team, Chris was an AI Strategy Consultant & Analytics Engineer working in industries such as technology, entertainment, healthcare, pharmaceuticals, marketing/advertising, higher education, and cybersecurity.

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Visit our website at responsible.ai