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Solving Real Business Challenges with Collective Intelligence (HI+AI) Workshop

QUICK SUMMARY

The workshop explored how to effectively combine human intelligence with AI as thinking partners rather than competitors, introducing frameworks like ACT (Analyze, Collaborate, Test) and idea generation techniques such as Five Lenses and IDEA DJ. Participants engaged in design thinking exercises to solve challenges first without AI, then learned how to intentionally integrate AI to expand perspectives and enhance innovation processes. The session emphasized that the real magic happens when human creativity and AI capabilities work together strategically, with humans maintaining critical thinking while leveraging AI for perspective expansion and efficiency.

KEY QUOTES

  • “The real magic happens only when AI and the human brain works together and they work at the right places. So we don’t wanna use AI where humans do a better job, and we don’t wanna use humans where AI would make us faster and do a better job.”
  • “Think of AI as a thinking partner, it’s like a travel companion who asks you why you’re going this way, why you’re taking this route, and have you considered a scenic route instead, which might be five or 10 minutes more but really adds a lot of value to the journey.”
  • “When we are thinking about the process, the right definition [of human-centered design] comes with this example… Brian Chesky utilized design thinking to do something spectacular with Airbnb… they did observations, they went to these locations, they noted down what these folks were looking for.”

FULL SESSION SUMMARY

Introduction to Collective Intelligence

The workshop began by introducing the concept of collective intelligence, building on a previous competition called “Mind versus Machine” where Team Mind (humans) competed against Team AI. The presenters, Harsh Wardhan and Prapti Jha, explained that the real insight from that competition was that both teams would have performed better by working together rather than competing. This workshop aimed to demonstrate how human processes and AI capabilities could be merged to create more powerful innovation outcomes.

Design Thinking as a Foundation

The session established design thinking as the human-centered foundation for problem-solving. The presenters shared examples of failed innovations like Juicero, contrasting them with successful human-centered approaches like Airbnb. They emphasized that true human-centered design involves observing users, understanding their needs, and reframing problems from their perspective – not just creating novel solutions that designers think users will want.

Design Thinking Exercise

Participants were guided through a condensed design thinking exercise where they:

  1. Formed teams of two
  2. Selected challenges (either business challenges or provided fun challenges)
  3. Identified primary users and their needs/desires
  4. Reframed problems from the users’ perspective
  5. Generated solution ideas

This exercise was deliberately conducted without AI assistance to establish a baseline for how teams typically approach problems.

Introducing AI as a Thinking Partner

After completing the design thinking exercise, the presenters introduced the concept of AI as a thinking partner rather than just a tool. They explained the difference using a GPS metaphor:

  • AI as a tool: Like GPS giving directions from point A to B
  • AI as a thinking partner: Like a travel companion who questions your route and suggests alternatives that might add value

The ACT Framework

The workshop introduced the ACT framework for intentionally integrating AI into innovation processes:

  • Analyze: Define the challenge and AI’s role in it (research, decision-making, creativity)
  • Collaborate: Engage in dialogue with AI, push back, and ensure it’s helping effectively
  • Test: Validate, apply, and improve AI insights, ensuring responses make logical sense

Participants were encouraged to apply this framework to their design challenges, thinking about where AI could fill gaps in their process.

Five Lenses Framework

To demonstrate how AI can expand perspectives during ideation, the presenters introduced the Five Lenses framework:

  1. Industry lens: How would different industries approach this problem?
  2. Cultural lens: How would this be tackled in different cultures?
  3. Contrarian lens: What is the opposite perspective of this idea?
  4. Future lens: What might this look like 10-20 years from now?
  5. Historical lens: How has this idea evolved over time?

Participants experimented with the industry lens, prompting AI to consider how different industries would approach their challenge.

IDEA DJ (Unexpected Mashups)

The final framework introduced was IDEA DJ, a technique for pushing boundaries by creating unexpected combinations. Participants:

  1. Selected a random object from their belongings
  2. Prompted AI to generate breakthrough ideas that combined their challenge with the selected object
  3. Shared surprising and creative solutions that emerged

Participants shared examples like using a lanyard with thermochromatic ink that changes color to remind people to water plants, or a tablecloth with an integrated self-watering system.

Blind Spot Testing

Though time constraints limited exploration, the presenters briefly introduced a framework for testing ideas by identifying blind spots and biases:

  • What perspectives might be missing?
  • What counter-arguments exist?
  • What potential biases could be influencing the answer?
  • Can you generate responses from multiple viewpoints?

Conclusion

The workshop concluded by emphasizing that the real magic happens when AI and humans work together strategically, with each contributing their strengths. Participants were encouraged to think about one way they would start using AI as a thinking partner after the session.

KEY TAKEAWAYS

  1. The future of innovation lies in collaboration between humans and AI rather than competition or replacement.
  2. AI should be used intentionally as a thinking partner to expand perspectives and enhance human creativity, not as a replacement for human thinking.
  3. The ACT framework (Analyze, Collaborate, Test) provides a structured approach to integrating AI into innovation processes effectively.
  4. Techniques like Five Lenses and IDEA DJ can help innovators use AI to break out of echo chambers and generate truly novel ideas.
  5. Human-centered design remains essential – AI should enhance our ability to understand and solve for user needs, not replace empathy and observation.
  6. Validation and critical thinking are crucial when working with AI to avoid biases and ensure solutions are practical and effective.
  7. The goal of using AI in innovation is not to make processes faster, but to make outcomes better through perspective expansion.

DELIVERY ON EVENT FOCUS: Aligning Innovation with Business Strategy

The workshop demonstrated how businesses can strategically integrate AI into their innovation processes to achieve better outcomes while maintaining human-centered approaches. By using frameworks like ACT, organizations can be intentional about where and how they deploy AI, ensuring it enhances rather than replaces human creativity and critical thinking. The session showed how AI can help businesses overcome limitations in perspective and ideation, leading to more innovative solutions that better address user needs while maintaining strategic alignment. The emphasis on testing and validating AI insights ensures that innovations remain grounded in business reality rather than AI hallucinations.

DELIVERY ON EVENT THEME: Harvesting Innovation and Sowing the Seeds of Future Growth

The workshop directly addressed the event theme by showing how organizations can harvest the best of both human and AI capabilities to drive innovation. By introducing frameworks and techniques for human-AI collaboration, the session provided practical ways to sow seeds for future growth in an increasingly AI-integrated business landscape. The IDEA DJ and Five Lenses frameworks demonstrated how unexpected combinations and diverse perspectives can lead to breakthrough innovations that might otherwise remain undiscovered. The session emphasized that preparing for the future requires learning to work with AI as a partner now, developing the skills and mindsets that will be essential as AI becomes more autonomous and integrated into business processes.

ACTION ITEMS FOR INNOVATION EXPERTS & CORPORATE CHANGEMAKERS

  1. Audit Your Innovation Process: Identify specific areas where AI could enhance your current innovation process using the ACT framework, focusing on perspective expansion rather than just efficiency.
  2. Experiment with AI Frameworks: Implement the Five Lenses framework in your next ideation session to break out of industry echo chambers and generate more diverse solution concepts.
  3. Try IDEA DJ: Use the unexpected mashups technique with your team to push boundaries and generate breakthrough ideas by combining seemingly unrelated concepts.
  4. Develop AI Literacy: Ensure your innovation team understands AI capabilities and limitations to use it effectively as a thinking partner rather than becoming dependent on it.
  5. Establish AI Validation Protocols: Create processes to validate and test AI-generated insights before implementing them, using the Blind Spot Tester framework as a starting point.
  6. Maintain Human-Centered Practices: Continue to prioritize direct user observation and empathy in your innovation process, using AI to enhance rather than replace these practices.
  7. Create Hybrid Teams: Design innovation teams that combine AI expertise with human-centered design skills to maximize collective intelligence.
  8. Practice Intentional AI Use: When facing innovation challenges, explicitly define AI’s role before jumping into solutions to avoid over-reliance or underutilization.