The British Academy for Training and Development offers this training program in “Leadership in the Age of Artificial Intelligence” to help executives and managers respond effectively to the changes that artificial intelligence is bringing to leadership, decision-making, and organizational work.

The program focuses on using AI to support strategic vision, improve decisions, manage talent, and enhance operational efficiency while preserving the human dimension of leadership. It also addresses governance, accountability, ethics, and risk management when introducing intelligent systems into the workplace.

Participants examine how leadership roles and team structures are changing, along with approaches to building an organizational culture that can accommodate emerging technologies. The program provides a managerial framework for balancing innovation, oversight, people management, and organizational performance in an environment where AI is becoming an increasingly important part of business operations.

Who Should Attend?

• Executives and senior leaders seeking to understand AI’s impact on leadership and decision-making.

• Department managers and heads responsible for adopting intelligent technologies and improving work methods.

• Digital transformation, IT, and innovation professionals involved in AI projects.

• HR and organizational development professionals concerned with changing roles and workforce skills.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Understand AI’s impact on leadership roles and management approaches.

• Use AI tools for planning, decision-making, and information analysis.

• Identify approaches to managing teams and talent in intelligent work environments.

• Recognize ethical and regulatory requirements related to AI use.

• Establish foundations for integrating AI with organizational strategy and creating sustainable value.

• Leadership and Transformation in the Age of AI

  • The concept of artificial intelligence and its development in business and management.

  • Impact of intelligent technologies on leadership responsibilities and organizational work models.

  • Changes in leadership and decision-making approaches within digital organizations.

• Strategic Vision and Artificial Intelligence

  • Integrating AI into organizational vision and strategic objectives.

  • Identifying opportunities created by intelligent technologies for growth and performance improvement.

  • Aligning technology investments with organizational priorities and expected outcomes.

• Artificial Intelligence and Decision-Making

  • Using data and intelligent analytics to support management decisions.

  • Assessing AI-generated outputs and their suitability for leadership decisions.

  • Balancing automated analysis with human expertise in decision-making.

• Performance Management through Intelligent Technologies

  • The role of AI in performance monitoring and measuring results.

  • Using predictive analytics for planning and identifying future trends.

  • Developing performance indicators to track the impact of technological transformation.

• Leading Talent and Intelligent Teams

  • Changing employee roles and skills in AI-supported work environments.

  • Managing teams that combine human capabilities with intelligent systems.

  • Developing talent and improving workforce readiness for technological change.

• Organizational Culture and Change Management

  • Building a culture that embraces innovation and new technologies responsibly.

  • The leadership role in addressing resistance to AI-related change.

  • Internal communication and building trust when introducing intelligent systems.

• AI Governance and Ethics

  • Principles of governance and accountability in the use of AI systems.

  • Privacy, transparency, bias, and accountability in AI-supported decisions.

  • Establishing organizational policies and controls for responsible AI use.

• Artificial Intelligence Risk Management

  • Identifying operational, technological, and legal risks associated with AI.

  • Approaches to monitoring intelligent systems and their outputs.

  • Leadership responsibilities for reducing risks and ensuring controlled technology use.

• Leadership and Organizational Innovation

  • Using AI to develop services, products, and business models.

  • Supporting innovation by combining human knowledge with technological capabilities.

  • Building a leadership environment that encourages renewal and effective use of emerging technologies.

• The Future of Leadership and Readiness for Change

  • Emerging AI trends and their implications for the future of management.

  • Developing organizational plans for changes in jobs, skills, and technologies.

  • Building an adaptable leadership model that balances innovation, accountability, and organizational performance.