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DataFramed

#210 Trust and Regulation in AI with Bruce Schneier, Internationally Renowned Security Technologist

Mon May 27 2024
AITrustworthinessRegulationApplications

Description

This episode explores the trustworthiness of AI, the need for regulation, and potential applications of AI. Trust in AI is viewed as a tool, but concerns exist about its control by large corporations. Regulation is necessary to prevent harm and ensure accountability. AI has the potential to enhance human capabilities and be used in various fields. The importance of managing trustworthy AI applications and discussing AI at a governmental level is highlighted.

Insights

AI is viewed as a tool that pretends to have a relationship with users

AI is seen similar to phones, search engines, and email providers.

Concerns about the trustworthiness of AI

There is worry about AI being controlled by large corporations and the risk of surveillance capitalism.

Trust in AI differs from interpersonal trust to social trust

Social trust is crucial for AI, but there are worries about misplaced trust leading to users treating AI as friends rather than services.

AI digital assistants raise concerns about trustworthiness and potential spying

Personal data is already shared with untrustworthy services, and there is a push for transparency and accountability in AI models.

Regulation is necessary for industries like healthcare and automobile design

Regulations should focus on regulating human behavior rather than AI itself, and existing laws may be sufficient for most AI use cases.

The EU AI Act is seen as a good attempt at regulating AI

However, challenges arise due to the rapidly evolving nature of technology.

Regulation is essential for improving safety and security in the AI industry

Global synchronization of regulations is unlikely, and breaking up tech monopolies could be valuable.

AI has the potential to enhance human capabilities

But societal challenges like job loss need to be addressed through alternative ways of delivering basic services not tied to employment.

AI can be used for adjudication and explaining political issues

It can also act as a patient teacher, assist in healthcare, and have significant potential in research.

Discussing and regulating AI at a governmental level is important

This prevents tech monopolies from overpowering government influence.

Chapters

  1. Trust in AI
  2. Trustworthiness of AI Digital Assistants
  3. Regulation of AI
  4. Regulation for Safety and Competition
  5. Managing Trustworthy AI Applications
  6. Potential Applications of AI
Summary
Transcript

Trust in AI

00:00 - 08:04

  • AI is viewed as a tool that pretends to have a relationship with users, similar to phones, search engines, and email providers.
  • There is concern about the trustworthiness of AI due to its potential control by large corporations and the risk of surveillance capitalism.
  • Trust in AI differs from interpersonal trust (e.g., trusting a friend) to social trust (e.g., trusting a bank teller), which relies on systems within society for trust.
  • Social trust is crucial for AI, but there are worries about misplaced trust in AI leading to users being fooled into treating it as friends rather than services.

Trustworthiness of AI Digital Assistants

07:37 - 15:42

  • Personal data is already shared with untrustworthy services like search engines and social networking platforms.
  • AI digital assistants are seen as the future but concerns arise about their trustworthiness and potential for spying.
  • Corporate AI models are dominant, but there is a push for public AI models for transparency and accountability.
  • Transparency and universal access to AI models are crucial for fostering innovation and ensuring responsiveness to public demands.
  • The goal with AI is reliable service rather than building interpersonal trust, similar to how trust works in other industries like aviation and food safety regulations.

Regulation of AI

15:14 - 22:48

  • Regulation is necessary for industries like healthcare and automobile design to prevent unfettered innovation that could harm people.
  • Regulations in the restaurant industry due to health codes have not hindered innovation.
  • Companies operating in society must accept regulation as part of the price for doing business.
  • The focus should be on regulating human behavior rather than AI itself, as humans are morally responsible for the outcomes.
  • Existing laws are likely sufficient to cover most AI use cases, but specific AI regulations may be needed in certain areas.
  • The EU AI Act is seen as a good attempt at regulating AI, but challenges arise due to the rapidly evolving nature of technology.

Regulation for Safety and Competition

22:36 - 30:25

  • The AI industry may need a tiered approach to regulation for larger companies and AI models.
  • Regulation is essential for improving safety and security in industries, as the market does not prioritize these aspects.
  • Global synchronization of regulations for AI is unlikely, so a patchwork of regulations by different countries may be necessary.
  • Lessons from social media suggest that breaking up tech monopolies in the AI industry could be valuable.
  • Competition among sellers is crucial to maintain a vibrant market and prevent monopolization in the AI industry.

Managing Trustworthy AI Applications

30:01 - 37:41

  • Corporations are structured entities that outlive individual people, and within them, individuals work on building AI tools.
  • To create trustworthy AI, it is crucial to pay attention to the specific applications and manage them effectively.
  • The use case of AI plays a significant role in determining its impact and trustworthiness; constant vigilance is necessary due to the rapidly changing nature of the field.
  • Consumers often have limited choices when it comes to using AI embedded in everyday technologies like mapping software or social media platforms, highlighting the need for better regulations and protections.
  • AI has the potential to enhance human capabilities rather than replace humans entirely, but societal challenges such as massive job loss due to automation need to be addressed through alternative ways of delivering basic services not tied to employment.

Potential Applications of AI

37:13 - 40:36

  • AI can be used for adjudication and explaining political issues to people.
  • AI has the potential to act as a patient teacher and improve individuals through conversation.
  • AI can serve as a valuable tool in areas with limited access to doctors, like an AI-assisted nurse.
  • There is significant potential for AI in research, particularly in big data pattern matching for drug discovery.
  • AI moderation of discussions is an interesting concept that can have positive impacts.
  • The importance of discussing and regulating AI at a governmental level is emphasized to prevent tech monopolies from overpowering government influence.
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