One of the dangers of AI is that it can make any idea sound convincing. Leaders need to be the experts "in the loop" to counter AI's limitations. This video will explain how.
Key Takeaways: AI and leadership
- Leaders need to think like scientists. This means conducting meaningful AI experiments, being unafraid to fail fast, and ensuring you learn from these episodes.
- Human oversight is essential. AI lacks contextual knowledge and empathy, so leaders must apply critical, empathetic and ethical thinking to guide outputs responsibly.
- AI requires thoughtful experimentation. A clear strategic focus and the integration of human skills into AI-driven processes are key to using AI thoughtfully and responsibly.
About Tom Chatfield
Tom Chatfield is a tech philosopher, author, advisor, and speaker. His latest book, "Wise Animals," explores the historical relationship between humanity and technology.
Let's Act: embed AI practices into your leadership
What do you want to do with AI? How can you approach it "like a scientist"? AI can supercharge strategic thinking, but it needs to be used responsibly. The first step is to test it out.
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So make this commitment today:
- Experiment with AI.
Commit to running a small-scale AI experiment in the next month to get a better assessment of its possible impact on your organization.
A simple starting point would be to create a series of AI personas of different stakeholders. What are their views on an upcoming project or product launch? Start to play and thoughtfully experiment, so that you can discover the benefits of AI while avoiding the dangers.
Here are some further Mindtools resources on AI and leadership to continue your learning:
- Article: What Every Leader Needs to Know About AI
- Video: Harnessing AI for My Organization
- Expert Skill Bite: Mastering AI for Managers – With Markus Bernhardt
- Article: How Leaders Can Make Smarter, More Strategic Decisions With AI
- Article: How Leaders Can Use AI to Drive Growth and Innovation
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