AI for Leaders
ARTIFICIAL INTELLIGENCE is everywhere right now, and it promises to be one of those quantum leaps in business and technology like the arrival of the personal computer and the Internet. Unfortunately, its development is happening faster than companies can handle, and this puts leaders in the difficult position of needing to understand the threats and benefits of a new and versatile set of technologies in real time.
Our AI for Leaders course fits into our leadership series of courses designed specifically for leaders (alongside Change Management for Leaders and Communicating as Leaders). This course is designed for senior leaders who seek to understand and harness the potential of AI technology within their organizations. Participants will explore key concepts, applications, and implications of AI, enabling them to make informed decisions and drive strategic initiatives in the rapidly evolving digital landscape. In two half-day sessions we deliver an up-to-date awareness of what AI is, its current usefulness and threat value, along with techniques for leading teams into its new world, devising metrics for its usage, and remaining up-to-date on its endless advances, using case studies for discussion.
Duration: Four half-days
Course Objectives:
1. Understand the fundamentals of artificial intelligence, including machine learning, deep learning, and natural language processing.
2. Explore real-world AI applications across various industries and domains, from healthcare to finance, marketing to supply chain management.
3. Evaluate the potential benefits and challenges of implementing AI solutions within organizational contexts.
4. Learn about ethical considerations, bias mitigation strategies, and responsible AI practices.
5. Gain insights into AI governance, risk management, and compliance frameworks.
6. Develop strategies for fostering a culture of innovation and AI adoption within their teams and organizations.
7. Identify opportunities for leveraging AI to drive business growth, enhance customer experiences, and optimize operational efficiency.
8. Discuss the future trends and emerging technologies shaping the AI landscape, such as AI ethics, explainable AI, and AI-enabled decision support systems.
Topics include:
Conceptual Knowledge
- Overview of artificial intelligence
- Historical context and evolution of AI
- Types of AI: Narrow vs. General AI
- Key terminology and concepts
- A summary of what AI is doing today (the day the course is being delivered) - what are organizations using it for?
- How AI works, and the forms it takes (Generative AI, Large Language Models/ChatGPT, machine learning, code development)
- The dangers - for example how employees can misuse AI in the course of their work
- The criminal side: deepfakes, enhanced social engineering, intelligent malware
- Is AI really a new thing? How does it differ from the threats and benefits we have now?
- How will AI impact jobs, company competitiveness and market stability
AI Applications Across Industries
- Case studies and examples of AI in action
- Industry-specific applications (e.g., healthcare, finance, retail, manufacturing)
- Current and future opportunities and challenges for AI adoption
Leadership Challenges
- Working with senior stakeholders to develop an AI police
- Do we need to appoint a Chief AI Officer?
- Assessing a future we cannot see
Ethical challenges
- Considerations in AI development and deployment
- Bias and fairness in Generative AI
- Legal frameworks and regulations related to AI in different industries
- Developing a plan for incorporating transparency and accountability into an AI system
- Data, security, compliance, culture
- Developing a policy—even if you’re not yet using generative AI
- Security risks
AI Governance and Risk Management
- AI governance frameworks and best practices
- Risk assessment and mitigation strategies
- Data privacy and security considerations
- Legal and regulatory compliance
Driving AI Adoption and Innovation
- Leadership strategies for promoting AI adoption
- Building a culture of experimentation and learning
- Overcoming resistance to change
- Fostering collaboration and cross-functional teams
Assessing your workplace in preparation for the adoption of Generative AI
- Identifying business goals
- Prioritizing AI solutions against business goals
- SWOT analysis/problems/opportunities/ROI
- The ease of implementation vs. the potential impact on the organization
- Developing a list of use cases to define problems, value proposition, requirements and user experience
- Building a knowledge base
- Identifying low-risk testing grounds and specific primary domains such as customer service, marketing, IT
- Assessing industry specific generative AI tools
- Balancing against customer needs
- Building an improvement ecosystem
- Taking stock of cultural attitudes – are your people ready for this?
- Planning how to integrate AI into existing workflows
- Testing and evaluating Generative AI models prior to and after installation
Preparing your organization and team for the AI change
To provide definitions, explanations, change management and leadership to an organization
- Principles of change management
- Offering skills development and learning opportunities including in a sandboxed environment
- Dealing with resistance
- Communication and education issues and opportunities
- Leading through change in the adoption of generative AI
- Creating a tiger team to develop your generative AI pilot
- Defining objectives, goals, outputs, and OKRs
- Using STEP and ADKAR techniques
- Leading through the changes
Leveraging AI for Business Impact
- Identifying opportunities for AI-driven innovation
- Developing AI use cases and business cases
- Measuring and maximizing ROI from AI investments
- Scaling AI initiatives for enterprise-wide impact
Future Trends and Emerging Technologies
- Advancements in AI research and development
- Future trends shaping the AI landscape
- Implications for senior leaders and organizations
- Strategies for staying ahead in the age of AI
Our sessions are interactive, and wherever possible, use case studies and context drawn from pre-course assessments. Post-session support is always available at no charge. Available as a live online classroom event and private coaching.