RIMS ERM 2025:
AI & the Future of Risk Management
Hello my new Risk Management friends!
AI took notes for me as I presented the AI & the Future of Risk Management keynote. Then, I turned those notes into a song! Here it is. Your specific AI notes and the key slides are also here, so that you can try some of those prompts on your own.
On this page, you will find:
– the custom AI GENERATED SONG based on the AI keynote (& it’s actually good!)
– the AI NOTES from our talk transcribed by Otter.ai
– a downloadable PDF SUMMARY of the most important slides
Please let me know how I can be helpful in the future!
Dan
Dan Chuparkoff
A.I. & Innovation Keynote Speaker
CEO, Reinvention Labs
Former Technology Leader from
Google, McKinsey, & Atlassian
Listen to the
AI KEYNOTE SONG
The easiest way to review or share some of the key points of my AI & the Future of Everything Keynote is to listen to or share this song. My goal is to have you and everyone on your team singing, “We will always need people to solve, decide, & imagine.” and if this song helps to make that possible, then AI has, in fact, helped me to do my job better!!
PDF SUMMARY of key slides
This “Slide Cheatsheet” was customized for your specific talk. It’s designed to help audience-members like you, by wrapping my AI & the Future of Everything keynote into an easy-to-skim, easy-to-share, or easy-to-print resource for future reference.
Download the 3 page
high-resolution PDF here:
Hope you find it helpful!
AI NOTES from Dan’s Keynote
*These notes were created automatically by Otter.ai. Transcription errors or mistakes have not been fixed
in order to demonstrate the current state of AI notes.
Summary
Dan Chuparkoff discussed the transformative impact of AI on work and risk management. He highlighted AI's ability to simplify complex tasks, citing a video created in 10 minutes using AI. AI is expected to revolutionize work by automating routine tasks, enhancing decision-making, and improving communication. Chuparkoff emphasized the importance of understanding AI's limitations, such as its inability to solve dynamic problems and its reliance on outdated information. He also stressed the need for human oversight to ensure AI's outputs align with organizational goals. AI's role in enhancing collaboration, particularly through real-time language translation, was also highlighted.
Action Items
[ ] @Dan Chuparkoff - Ask ChatGPT about the 10 ways AI is changing the work of strategic ERM leaders.
[ ] Explore how AI can be used to improve communication, such as through AI-generated meeting notes and translations.
[ ] Shift work from the lower levels of the "work pyramid" to AI assistants in order to spend more time on problem-solving, decision-making, and imagining the future.
Outline
Introduction and AI's Impact on Work
Speaker 1 introduces Dan Chuparkoff as a trailblazer with over 30 years of experience in innovation at Google and McKinsey.
Speaker 2 describes Dan as an understandable technology speaker who simplifies complex concepts.
Speaker 3 highlights Dan's ability to captivate audiences from Fortune 100 companies to Southwest Airlines.
Dan Chuparkoff thanks the RIMS organization and expresses excitement about discussing risk and AI.
AI's Role in Changing Work Dynamics
Dan explains how AI is changing every aspect of work, making tasks faster and decisions more confident.
He emphasizes the importance of managing the risk that comes with AI-driven technologies like robots.
Dan shares his personal journey from a troubled childhood in Tampa, Florida, to leading a team at Google.
He recounts his experience with AutoCAD at 17, which changed his perspective on technology as a tool, not a replacement for human creativity.
The Evolution of Technology and AI
Dan discusses the evolution of technology from AutoCAD to modern AI, highlighting the impact of each new tool.
He explains how AI is the next "copy and paste" moment, making work more efficient and integrated.
Dan emphasizes the need for leaders to understand and manage AI effectively.
He introduces the concept of AI as a tool that will become an integral part of work, similar to how copy and paste became second nature.
Understanding AI: Generative and Pre-Trained
Dan explains the acronym GPT and its components: generative, pre-trained, and transformer.
He discusses the limitations of AI, such as its inability to provide precise answers and its reliance on outdated information.
Dan highlights the different AI tools available, including ChatGPT, Copilot, Claude, and Gemini.
He emphasizes the importance of understanding AI's capabilities and limitations.
AI's Impact on Risk Management
Dan outlines 10 ways AI will change the work of strategic enterprise risk managers.
He discusses AI's ability to quantify risk, perform sophisticated impact calculations, and provide continuous controls.
Dan highlights the importance of using AI as an advisor and personal development coach.
He emphasizes the need for AI to be reviewed and evaluated by humans to ensure accuracy and alignment with organizational goals.
AI's Role in Communication and Collaboration
Dan discusses AI's impact on communication, including the use of AI note-takers and meeting summaries.
He highlights the benefits of AI in making meetings more efficient and reducing re-communication.
Dan introduces the concept of AI-generated songs for summarizing key points in documents.
He emphasizes the importance of using AI to enhance collaboration and communication across different languages.
AI's Role in Global Collaboration
Dan demonstrates AI's ability to translate and transcribe conversations in real-time.
He highlights the potential for seamless multilingual communication using AI.
Dan discusses the impact of AI on global collaboration and the ability to work with people from different language backgrounds.
He emphasizes the importance of AI in managing increasing expectations and risks in a globalized world.
AI's Role in Problem Solving and Decision Making
Dan explains the hierarchy of human expertise and the importance of problem-solving and decision-making.
He discusses AI's limitations in solving dynamic and unique problems.
Dan emphasizes the need for humans to continue being problem solvers and decision-makers.
He highlights the opportunity for AI to assist in lower-level tasks, freeing up time for higher-level work.
AI's Role in Enhancing Work Efficiency
Dan discusses the potential for AI to enhance work efficiency by automating repetitive tasks.
He highlights the importance of using AI to manage increasing information and expectations.
Dan emphasizes the need for humans to focus on higher-level tasks that require creativity and innovation.
He introduces the concept of AI as a co-pilot that assists in work but requires human review and evaluation.
Conclusion and Future of AI
Dan concludes by emphasizing the importance of using AI to enhance work efficiency and manage increasing risks.
He highlights the need for humans to continue being problem solvers, decision-makers, and innovators.
Dan discusses the potential for AI to transform work and create new opportunities for collaboration and innovation.
He encourages the audience to explore and adopt AI tools to improve their work and achieve better outcomes.
