About this Event
As AI starts shaping how decisions are made, the leaders people trust will be the ones who stay accountable, transparent and true to their values. Authentic Leadership in the Age of AI is a one-day, hands-on course in San Francisco, open to leaders and managers with no technical background needed. By the end of the day, you will know how to use human judgement when assessing AI-generated recommendations, weigh ethics, bias and fairness in AI-supported decisions, and explain AI-related changes clearly so your team keeps its confidence in you. Through a case study, role play, a simulation and group discussion, you will practise leading through change and leave with practical safeguards for responsible AI use in your own role. The course also earns you 8 PDUs and a Course Completion Certificate, with lunch and refreshments included.
01 | The Session At A Glance
Location
San Francisco, CA, USA
Duration
1 Full Day – 8 Hours
Delivery
Instructor-led classroom training (Virtual session available upon request)
Language
English
Credits
8 PDUs / Training Hours
Certification
Course Completion Certificate
Refreshments
Enjoy Complimentary Refreshments (Beverages, Lunch, and Snacks are included)
NOTE: The course will be delivered by experienced local trainers.
We aim to assign a qualified
professional trainer based in or near the advertised training location. The
trainer’s details and professional profile will be shared with registered
participants before the session.
02 | Why This Session?
Artificial intelligence is influencing how organisations analyse information, make decisions and manage workplace responsibilities. Leaders need to work with AI while maintaining accountability, transparency and trust.
This session considers how leaders can:
- Maintain personal values and integrity when using AI-supported tools.
- Evaluate the role of human judgement in AI-assisted decisions.
- Communicate clearly about AI use, limitations and implications for teams.
- Consider trust, accountability, fairness and responsible AI adoption.
- Support employees as workplace practices and expectations evolve.
03 | What You Can Take Into Your Work
By the end of the session, participants should be able to:
- Explain authentic leadership principles and their relevance to AI-enabled workplaces.
- Identify opportunities and limitations associated with AI-supported leadership activities.
- Evaluate ethical considerations, potential bias and accountability in AI-assisted decisions.
- Apply human judgement when assessing AI-generated information and recommendations.
- Communicate AI-related decisions and workplace changes clearly and transparently.
- Recognise situations requiring human review, intervention or escalation.
- Develop practical considerations for aligning AI use with personal values and organisational responsibilities.
These outcomes describe the intended learning focus rather than guaranteed workplace results.
04 | Is This Session for You?
Business Leaders & Executives
Consider how to align AI use with leadership values, organisational responsibilities and ethical decision-making.
Managers & Department Heads
Explore how AI-supported information can inform decisions while retaining appropriate oversight.
Team Leaders & Supervisors
Examine ways to communicate AI-related changes and maintain trust within teams.
HR & People Managers
Consider employee confidence, fairness, communication and changing work practices.
Project & Programme Managers
Evaluate AI-supported recommendations and maintain clear responsibility across project teams.
Entrepreneurs & Business Owners
Consider responsible AI use, transparency and human judgement in business activities.
Professionals in AI-Enabled Roles
Explore how authentic leadership applies when AI influences workplace decisions and collaboration.
05 | The Strive Wisdom Approach
Practical
Connect leadership principles with workplace decisions, communication and AI-supported tasks.
Human-Centred
Consider employee needs, professional relationships and human judgement alongside AI capabilities.
Responsible
Address ethical considerations, transparency, privacy and accountability in AI use.
Workflow-Oriented
Explore where AI may fit into leadership activities and where human review remains important.
Applied
Identify realistic actions and considerations relevant to participants’ professional contexts.
06 | From Individual Learning to Team Practice
In-House Session
Want to train your entire team?
Strive Wisdom can deliver this session as an in-house programme, with examples and discussions aligned with your organisation’s leadership responsibilities, AI adoption priorities, workflows and professional context.
An in-house format can give teams opportunities to discuss shared challenges, clarify responsibilities for AI-supported decisions and consider consistent approaches to transparency, human oversight and responsible AI use. The scope, activities and examples can be agreed before delivery to reflect the team’s experience and organisational requirements.
Agenda
The Seven Practical Areas
Module 1: Foundations of Authentic Leadership
Info: • Understand authenticity, integrity and consistency in leadership behaviour.
• Examine how personal values influence professional decisions.
• Consider the relationship between self-awareness, credibility and trust.
• Icebreaker
Module 2: Understanding AI in Leadership
Info: • Identify common ways AI can support leadership and management activities.
• Distinguish AI-generated recommendations from human judgement and accountability.
• Recognise limitations of AI-generated information in workplace decisions.
• Hands-On Activity
Module 3: Ethical Decision-Making and Accountability
Info: • Examine ethical considerations in AI-supported organisational decisions.
• Consider fairness, privacy, transparency and potential bias.
• Identify where human review and clear responsibility are necessary.
• Case Study
Module 4: Trust, Transparency and Communication
Info: • Explain AI-supported decisions clearly to employees and stakeholders.
• Recognise how uncertainty about AI can affect workplace confidence.
• Communicate the purpose, limitations and implications of AI use responsibly.
• Role Play
Module 5: Human Judgement and AI Collaboration
Info: • Evaluate when AI assistance may be appropriate for a leadership task.
• Balance data-driven recommendations with experience and context.
• Identify situations requiring human intervention or verification.
• Simulation
Module 6: Leading Teams through AI-Related Change
Info: • Recognise employee concerns about changing roles, workflows and expectations.
• Consider ways to support learning, participation and constructive discussion.
• Align AI-related changes with team needs and organisational values.
• Group Discussion
Module 7: Applying Authentic Leadership in AI-Enabled Workplaces
Info: • Develop practical considerations for integrating AI into leadership routines.
• Identify safeguards for responsible use and human oversight.
• Establish actions for maintaining integrity and accountability as AI use evolves.
• Workshop Exercise
Event venue & nearby stays
Regus - CA, San Francisco - Mid-Market, 1390 Market Street, Suite 200, San Francisco, United States
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