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A More Human Future in the Era of AI

August 2023
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While many companies have invested in trying to harness the economic and societal potential of AI, only 13% of artificial intelligence initiatives are successful.

In this webinar, Brian shares a blueprint for a new system of leadership, designed for leaders and managers who aspire to harness artificial intelligence for the betterment of their organization and the world.

Key Takeaways:

  • Understand why the current system of leadership is struggling to harness AI
  • Learn a framework for the new system of leadership designed for the next era beyond the Industrial Revolution
  • Discover actionable steps to build a strategy for adopting this system of leadership within your organization

Buy Brian’s Book on Amazon

Read Brian’s Article on ChatGPT and AI Strategy

Summary

Artificial Intelligence (AI) provides outstanding opportunities to enhance society by offering personalized support in education, improving healthcare diagnoses, and assisting in disaster management. However, many AI initiatives do not succeed. Brian Evergreen, CEO of the Profitable Good Company, suggests a plan for businesses to utilize AI for social good. He introduces a new phase of transformation beyond digital transformation, including terms like digital reformation and autonomous transformation. He highlights the significance of vision and strategy over impulsive AI investments, proposing that transformation and reformation should not be the ultimate goals. Evergreen encourages a shift from machine learning to machine teaching to better match AI capabilities with human expertise. He points out leadership challenges in AI adoption, such as a lack of vision and overreliance on data-driven approaches, which block innovation. Addressing these issues could unleash the economic and societal potential of AI, especially in physical industries and healthcare, where autonomous transformation could bring considerable advancements.

Key Takeaways:

  • AI can significantly enhance societal sectors like education, healthcare, and disaster management.
  • Digital transformation is not the endpoint; reformation and autonomous transformation are vital for future advancements.
  • Effective AI strategies should start with a clear vision and strategy, not impulsive investments.
  • Machine teaching offers a human-focused approach to match AI capabilities with human expertise.
  • Autonomous transformation holds promise, especially in physical industries and healthcare.

Deep Dives

AI for Social Good

AI offers a tran ...
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sformative impact on society by enhancing various sectors, including education, healthcare, and disaster management. Brian Evergreen highlights the need for businesses to direct their AI strategies towards social good. In education, AI can provide personalized learning experiences, adjusting instruction to individual student needs. In healthcare, AI can improve diagnostic accuracy and patient outcomes. Moreover, in disaster management, AI can optimize resource allocation and response times. However, achieving these benefits requires a strategic approach that goes beyond mere technological adoption. Businesses must align their AI initiatives with societal goals, promoting collaborations between technology experts and social sector leaders to maximize the positive impact of AI on society.

Digital vs. Autonomous Transformation

Digital transformation, often seen as the ultimate goal, is simply the first step in the technological evolution. Brian Evergreen introduces the concept of digital reformation, which enhances efficiency without altering core processes, and autonomous transformation, which involves embedding intelligence into systems for decision-making. While digital transformation converts processes from analog to digital, autonomous transformation uses machine learning to enable systems to operate independently. This progression from digital to autonomous is vital for organizations to remain competitive. Evergreen highlights that only 13% of AI initiatives reach production due to a lack of strategic vision. By embracing autonomous transformation, businesses can unlock new capabilities and redefine industry standards, paving the way for innovative solutions.

Vision-Driven AI Strategy

A successful AI strategy begins with a clear vision and strategic alignment rather than reacting to technological trends. Brian Evergreen emphasizes the importance of defining the future an organization aims to create before implementing AI solutions. He uses the analogy of chess, where an effective strategy requires a vision for the endgame rather than merely responding to immediate moves. "What is your vision?" he asks, emphasizing the need for organizations to articulate their desired outcomes. This vision-driven approach enables businesses to prioritize initiatives that align with long-term goals, promoting innovation and sustainable growth. By focusing on future-solving instead of problem-solving, organizations can manage the complexities of AI implementation and achieve transformative results.

Machine Teaching and Human-Centric AI

Machine teaching, as opposed to traditional machine learning, prioritizes human expertise in developing AI systems. Brian Evergreen encourages a shift towards machine teaching, which starts with human knowledge and expertise to inform AI decision-making. This approach addresses the limitations of data-driven models, which often fail to capture the subtleties of human reasoning. By incorporating human insights, machine teaching creates more adaptable and capable AI systems. "Human expertise is the most valuable thing we have," Evergreen asserts, highlighting the need for AI to complement rather than replace human capabilities. This human-centric approach not only enhances the effectiveness of AI solutions but also encourages a collaborative environment where data scientists and domain experts work together to achieve shared goals.


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