Creating a Responsible AI Culture

What really is ‘responsible ai’?

• Trustworthy: Making AI safe
• Explainable: Making AI understandable
• Equitable: Making AI fair
• What makes AI ethical? It’s many different things to many people including transparency, reliability, justice, privacy and much more.
• Responsible AI encompasses all of these.

What is a responsible AI culture?

• It involves ensuring that AI use aligns with laws, regulations and societal values.

What can you do to help AI culture:

• Leadership action: appoint an AI ethics officer and include ethics in board discussions
• Team practices: Conduct regular AI audits and use fairness-checking tools

Responsible for AI Framework

• Sustainability: develops environmentally conscious AI systems
• Ethics: Ensures AI aligns with societal values and moral principles
• Accountability: Assigns responsibility for AI’s
• Transparency: Makes AI processes understandable and accessible to all stakeholders
• Fairness: Prevents discrimination or bias in AI outcomes

How can we get AI ethics rights?

• Leadership commitment: Ensure senior leaders actively support and participate in AI ethics. 
  • Think about appointing dedicated leaders or committees to oversee ethical AI practices such as AI experts, ethics specialists, legal representatives, risk management officers, diversity advocates
• AI principles development: Creativing comprehensive guidelines aligning with international standards
  • Align your AI ethics with frameworks like the OECD AI Principles or the EU AI Act
• Cross-functional collaboration: Forming diverse teams for comprehensive AI development
  • Multidisciplinary teams bring varied expertise to AI development
• Training and education: Implementing it for all employees
  • Ongoing training is critical and understanding AI ethics is fundamental
• Ethical AI in risk management: Adopting frameworks to identify and mitigate risks
  • It helps organisations map, measure and manage AI risks
• Stakeholder engagement: Maintaining transparent communication with AI stakeholders
  • Transparent communication about AI initiatives builds trust with stakeholders, fostering collaboration and accountability
  • What about third-party vendors?

• It’s important to assess how they embed responsibility into their AI?
• Continuously monitor and audit
• Have transparent communications with your third-party vendors
• Align your policies to ensure you’ve aligned your values

• Monitoring and improvement: Developing metrics to measure and improve AI practices
  • Regular updates to policies and practices ensure they stay aligned with technological and regulatory advancements

Join us for this insightful webinar on ethics-driven AI culture, proudly hosted by the Corporate Governance Institute in collaboration with Duke Corporate Education. As part of our ongoing partnership, we’re excited to introduce the Certified Corporate Governance Institute Professional course—an exclusive live, online programme delivered by industry leaders at Duke Corporate Education.

We’ll explore how organisations can go beyond just meeting regulatory requirements and focus on building a proactive, ethics-driven AI culture. We’ll look at emerging frameworks for embedding AI ethics into business processes and governance structures, highlight the importance of stakeholder trust, and discuss how companies can align AI innovation with long-term ethical goals. The session will include practical tools, real-world case studies, and strategies that promote responsible AI use.

Key Takeaways:

1. Embedding Ethical AI into Organisational Culture:
   Discover strategies for cultivating a company-wide commitment to ethical AI, ensuring fairness, transparency, and accountability throughout the AI lifecycle.
2. Proactive AI Risk Management:
   Learn how to integrate ethical considerations into your risk management frameworks to assess and mitigate potential harms posed by AI systems, with a focus on transparency and inclusivity.
3. Building Stakeholder Trust:
   Understand the importance of transparency and accountability in AI governance and explore methods for effectively communicating your AI ethics strategies to build trust with customers, employees, and regulators.

This session will offer fresh insights, practical advice, and actionable steps that will help organisations foster an ethical AI culture while ensuring compliance with evolving governance frameworks.

Clark Boyd is CEO and founder of AI marketing simulations company Novela. He is also a digital strategy consultant, author, and trainer. Over the last 12 years, he has devised and implemented international strategies for brands including American Express, Adidas, and General Motors.

Today, Clark works with business schools at the University of Cambridge, Imperial College London, and Columbia University to design and deliver their executive-education courses on data analytics and digital marketing. He is also a faculty professor of entrepreneurship and management at Hult International Business School.

Clark is a certified Google trainer and runs Google workshops across Europe and the Middle East. He has delivered keynote speeches on AI at leadership events in Latin America, Europe, and the US