Frequently Asked Questions
Answers to common questions about Scott, his speaking topics, and the technology areas he covers.
About Scott
What does Scott Likens do at PwC?
Scott serves as the Global Chief AI Engineer at PwC, where he leads the firm's AI engineering and emerging technology initiatives. He helps organizations worldwide implement responsible AI solutions and navigate the complexities of emerging technologies including quantum computing, robotics, and space technology.
What is Scott's background and experience?
Scott has over 30 years of technology leadership experience spanning AI, quantum computing, robotics, and space technology. He has been featured on CNBC, spoken at TED and CES, and is recognized as a global thought leader in emerging technologies. His expertise combines deep technical knowledge with practical business application across airlines, travel, hospitality, insurance, and financial services.
Where can I follow Scott's work and insights?
You can follow Scott on LinkedIn at linkedin.com/in/scottlikens, watch his featured talks in the Media section, or visit his official PwC profile. He regularly shares perspectives on AI, emerging technologies, and innovation leadership.
Speaking
What topics does Scott speak about?
Scott speaks on the converging future of AI, quantum computing, robotics, and space technology. His talks cover AI at scale, responsible AI implementation, digital transformation, innovation leadership, and the ethical implications of emerging technologies. He tailors each presentation to fit the audience and organizational goals.
What types of events does Scott speak at?
Scott speaks at global conferences, leadership offsites, private board sessions, corporate events, and industry summits. He has presented at prestigious venues including TED, CES, CNBC events, the World Economic Forum in Davos, Dreamforce, the UN Economic and Social Council, AI Summit, Hong Kong FinTech Week, and many others.
How can I book Scott for a speaking engagement?
You can book Scott by scheduling a conversation through his Outlook calendar or emailing him directly at [email protected]. Scott or a member of his team will follow up within two business days to discuss your event and customize a talk that fits your needs.
Does Scott customize his talks for each audience?
Yes. Every engagement starts with your context — your industry, your strategy, and where your leaders are on the journey with AI and emerging technology. Scott works with event organizers to design a talk that fits the audience and goals.
Does Scott speak internationally?
Yes. Scott speaks globally and has presented at events in North America, Europe, Asia, and the Middle East.
AI & Technology Topics
What is responsible AI?
Responsible AI refers to the practice of designing, building, and deploying AI systems in ways that are ethical, transparent, fair, and accountable. It includes governance frameworks, bias mitigation, explainability, and alignment with human values. For business leaders, responsible AI is not just a compliance requirement — it is a competitive advantage and a trust-building imperative.
What is AI governance?
AI governance is the set of policies, processes, and structures that organizations use to manage AI systems throughout their lifecycle. It covers how AI decisions are made, who is accountable, how risks are identified and mitigated, and how AI use aligns with regulatory requirements and organizational values. Good governance is what separates AI programs that scale from those that stall.
What should boards know about AI?
Boards need to understand that AI is not just a technology decision — it is a strategic, operational, and reputational one. Key questions include: What is our AI strategy and how does it connect to business value? How are we managing AI risk and governance? Are we building AI capabilities or just buying them? What is our approach to responsible AI? Scott addresses all of these in his board-level sessions.
When should companies pay attention to quantum computing?
Now — but with appropriate calibration. Quantum computing will not replace classical computing overnight, but organizations in financial services, pharmaceuticals, logistics, and defense should already be building awareness and exploring use cases. The organizations that will benefit most from quantum are those that start learning today, not when the technology is fully mature.