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cover of episode The Future of AI Ethics Special: Perspectives from Women Leaders in AI on Bias, Accountability & Trust

The Future of AI Ethics Special: Perspectives from Women Leaders in AI on Bias, Accountability & Trust

2025/3/6
logo of podcast AI and the Future of Work

AI and the Future of Work
AI Deep Dive AI Chapters Transcript
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J
Juliette Powell
M
Meredith Broussard
M
Merve Hickok
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Navrina Singh
Topics
Navrina Singh: 我认为规范AI应该首先关注结果，即建立信任，并通过在整个AI价值链中实现透明化和披露报告来实现。这包括厂商披露数据集来源、数据获取方式、系统测试方法以及多方视角和红队测试结果等信息。此外，应用开发者也需要在应用开发过程中注重透明度和披露，因为信任的建立很大程度上取决于使用情境、部署情境以及应用来源等因素。 此外，AI监管应将受影响的群体放在首位，并在系统出现意外后果时迅速纠正。例如，在使用面部识别和自动化工具进行考试监考时，需要特别关注残疾人士的权益，避免产生负面影响。 Meredith Broussard: AI系统中的偏差并非偶然错误，而是社会问题的反映。我的研究关注AI与社会正义的交叉点，通过数据新闻学方法揭示AI系统中的偏见问题。我反对将AI偏差视为‘故障’，而应将其视为社会问题的体现，例如种族、性别或能力偏见。 Juliette Powell: 生成式AI的快速发展带来了许多风险，包括系统自我意识的潜在影响。在研究AI风险的过程中，我发现企业在决定发布AI产品时，会权衡各种因素，包括竞争、潜在监管等。然而，一个尚未充分讨论的问题是生成式AI的自我意识，以及这种自我意识可能带来的影响。在未来几年内，大型语言模型可能会意识到自己是大型语言模型，这将彻底改变游戏规则。 Merve Hickok: 组织需要采取深思熟虑的做法，确保AI公平公正地服务于所有人。在AI价值链中，责任是共享的，而非单一环节承担。开发者、数据收集者和AI系统购买者都负有责任。我们需要对整个AI生命周期进行治理，从目标定义到系统退役，确保所有相关方参与决策，避免出现‘创新与监管对立’的错误观念。负责任的AI与创新应并行不悖。

Deep Dive

Chapters
Navrina Singh discusses the importance of regulating AI to ensure transparency, accountability, and trust, particularly in sectors like healthcare, hiring, and education. She emphasizes the need for transparency throughout the AI value chain and involving impacted communities in the development process to mitigate unintended consequences.
  • Transparency and disclosure reporting across the AI value chain are crucial for building trust.
  • Involving impacted communities in the development process is essential to address unintended consequences.
  • Regulation should prioritize engendering trust in AI systems.

Shownotes Transcript

Coinciding with International Women’s Day this week, this special episode of AI and the Future of Work highlights key conversations with women leading the way in AI ethics, governance, and accountability.

In this curated compilation, we feature four remarkable experts working to create a more equitable, trustworthy, and responsible AI future:

**🔹 Navrina Singh (Founder & CEO, Credo AI) – **Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/14341487) 

**🔹 Meredith Broussard (Author, Artificial Unintelligence: How Computers Misunderstand the World) – **Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/12284213) 

**🔹 Juliette Powell (Co-Author, The AI Dilemma: 7 Principles for Responsible Technology) – **Listen to the full conversation here:  https://www.buzzsprout.com/520474/episodes/14435648) 

**🔹 Merve Hickok (Founder, *AIethicist.org)*) – **Listen to the full conversation here: https://www.buzzsprout.com/520474/episodes/11801221) 

Bias, lack of transparency, and ethical concerns in AI are some of the most urgent issues of our time. These leaders are shaping the policies and frameworks needed to ensure AI serves everyone—fairly and equitably.

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