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How humans and AI can work together to create better businesses | Sylvain Duranton

30.9K views
•
February 14, 2020
by
TED
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How humans and AI can work together to create better businesses | Sylvain Duranton

TL;DR

In this talk, the speaker discusses the importance of combining human judgment with artificial intelligence for optimal decision-making and the potential dangers of relying solely on AI.

Transcript

Translator: Ivana Korom Reviewer: Krystian Aparta Let me share a paradox. For the last 10 years, many companies have been trying to become less bureaucratic, to have fewer central rules and procedures, more autonomy for their local teams to be more agile. And now they are pushing artificial intelligence, AI, unaware that cool technology might make ... Read More

Key Insights

  • 📈 AI can make companies more bureaucratic by favoring rules and procedures over human judgment.
  • 💼 Many corporate executives are pushing for a "human-zero mindset" where they rely solely on AI to make decisions, eliminating the need for costly human involvement.
  • 💰 Companies that pioneer AI and focus on effectiveness and growth, rather than cost savings, are making money and seeing significant benefits.
  • ☑️ AI can make mistakes and do "dumb" things if human judgment is not kept in the loop.
  • 🔄 It is crucial to find a balance between humans and AI, rather than relying solely on one or the other.
  • 🔬 When it comes to sensitive topics like healthcare, it's important to involve both data scientists and domain experts to ensure accurate and ethical decision-making.
  • 🌐 Building powerful interfaces that allow humans and AI to collaborate and solve problems together is necessary for successful AI implementation.
  • ⚖️ Humans must define ethical boundaries and rules for AI, as some situations require human judgment and cannot be determined by past data alone.

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Questions & Answers

Q: How does artificial intelligence (AI) operate in a similar way to bureaucracies?

AI operates like bureaucracies because it relies solely on rules and procedures to make decisions. It favors rules and procedures over human judgment, just like bureaucracies do. AI makes decisions based on rules inferred from past data, without considering human input or context.

Q: Is there a real risk in relying solely on AI to make decisions?

Yes, there is a real risk in relying solely on AI to make decisions. The speaker, who is a leader of a team of AI specialists, has seen many corporate executives adopting a "human-zero mindset" where they want to replace humans with AI to make decisions. This can lead to a terrifying form of new bureaucracy where AI takes critical decisions based solely on rules, outside of any human control.

Q: What are the consequences of AI making decisions without human involvement?

When AI makes decisions without human involvement, there can be dumb, harmless consequences like in the example of an AI recommending more toilet seats to someone who had purchased one. However, there can also be more serious consequences, such as an AI engine rejecting a student application for university based on past data and rules, without considering individual circumstances or potential for growth.

Q: What is the alternative to relying solely on AI for decision-making?

The alternative to relying solely on AI for decision-making is adopting a "Human plus AI" approach. This involves integrating AI technology with human judgment and expertise. While this approach may be more time-consuming, costly, and difficult to implement, it has the potential for greater effectiveness and growth. It allows humans to work alongside AI, using their knowledge and insights to complement the capabilities of the technology.

Q: How can organizations effectively deploy AI with human involvement?

To effectively deploy AI with human involvement, organizations need to prioritize the integration of AI technology with people and processes. The speaker emphasizes that 70% of the effort should be focused on weaving AI with human expertise and ensuring strong interfaces for collaboration. It involves coding algorithms with the input of both data scientists and domain experts, building interfaces that allow humans and AI to solve problems together, and defining ethical rules and standards to set boundaries for AI's actions. By prioritizing the combination of human knowledge and AI, organizations can maximize the benefits of AI in their teams and processes.

Summary & Key Takeaways

  • Many companies have been trying to become less bureaucratic, but the introduction of AI may actually make them more bureaucratic if human judgment is not kept in the loop.

  • The "Human plus AI" approach, which involves the collaboration between humans and AI, is more effective and leads to better decision-making compared to relying solely on AI.

  • The deployment of AI needs to prioritize the integration of AI with people and processes, as well as the development of interfaces that allow effective collaboration between humans and AI.


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