cover of episode Ep 502: Sustainable Growth with AI: Balancing Innovation with Ethical Governance

Ep 502: Sustainable Growth with AI: Balancing Innovation with Ethical Governance

2025/4/11
logo of podcast Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI Podcast – An AI and ChatGPT Podcast

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J
Jordan Wilson
一位经验丰富的数字策略专家和《Everyday AI》播客的主持人,专注于帮助普通人通过 AI 提升职业生涯。
R
Rajeev Kapur
Topics
Jordan Wilson: AI 的应用具有创新性和风险性,我们需要在利用 AI 技术进步的同时,关注数据安全和治理问题,避免因不当使用 AI 而造成损失。 在使用 AI 工具时,我们需要仔细阅读服务条款,了解数据在传输和使用过程中的安全性和隐私性,并关注治理问题,而不是仅仅关注技术更新和竞争优势。 我们需要在 AI 创新和伦理治理之间取得平衡,既要利用 AI 技术的优势,又要避免因忽视伦理和治理而造成的风险。 Rajeev Kapur: 企业需要建立跨职能的 AI 伦理委员会,制定 AI 模型审查机制,并将高管薪酬与伦理成果挂钩,以确保 AI 的伦理和安全使用。 AI 系统会继承和放大数据中的偏差,企业需要积极应对,通过定期进行第三方审计、检查训练集和模型、构建模型的可解释性以及与多元化社区合作等方式来减少偏差。 构建 AI 伦理委员会应该包括公司内部和外部的利益相关者,例如法律人士、科学家、伦理学家、技术专家和最终用户,以确保 AI 的开发和应用符合伦理规范。 企业应该将数据视为增长机遇,而非成本,并学习如何提炼和利用数据,同时保障数据隐私和伦理。 企业应该将数据隐私和伦理作为产品特性,而非成本,并通过提供透明的使用日志和用户控制功能来增强用户信任。 企业需要定期审查 AI 项目,并建立监控和反馈机制,以确保 AI 的安全和合规使用。 AI 治理需要全球合作,否则难以有效实施。企业需要自我监管,并积极适应监管变化。 深度伪造技术既有益处也有风险,需要进行监管。企业需要采取措施来防止深度伪造技术的滥用,例如添加水印等。 企业领导者应该以远见卓识、伦理道德和勇气来引领 AI 的发展,并保护消费者和最终用户的利益。

Deep Dive

Shownotes Transcript

AI growth with no rules? That’s not bold. It’s reckless.Everyone’s racing to scale AI. More data, faster tools, flashier launches.But here’s what no one’s saying out loud:Growth without governance doesn’t make you innovative. It makes you vulnerable.Ignore ethics, and you’re building an empire on quicksand.In this episode, we’re breaking down how to scale AI the right way—without wrecking trust, compliance, or your future.Join us live as we break down Sustainable Growth with AI: Balancing Innovation with Ethical Governance — An Everyday AI) Chat with Rajeev Kapur and Jordan Wilson)

Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Questions for Rajeev or Jordan? Go ask.)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)

Topics Covered in This Episode:

  • Balancing AI Innovation with Ethical Governance
  • Introduction of Rajeev Kapur and Eleven o Five Media
  • Rajeev Kapur's Background in AI
  • Companies Balancing AI Innovation and Ethics
  • Formation of AI Ethics Board
  • Data Management as Competitive Advantage
  • Privacy and Ethics as Product Features
  • Governance and Ethical Standards in AI Use
  • Impact of Regulatory Changes on AI Use
  • Deepfakes and Their Implications
  • Encouragement for Companies to Lead Ethically in AI

**Timestamps:**00:00 Navigating AI: Innovation vs. Risks

04:00 "AI Startup's Spatial Audio Journey"

06:49 AI Ethics Oversight & Governance

10:04 Strategic AI Advisory Team Formation

15:34 AI Strategy and Governance Essentials

16:55 Global Standardization Needed for AI Policies

22:47 AI Ethics: Innovation vs. Deepfakes

25:48 "Regulate Deepfakes Like Nukes"

27:17 Leadership Vision for Future Success

**Keywords:**AI innovation, Ethical governance, Large language models, Data privacy, AI ethics board, AI governance, TDWI, Microsoft stack, Generative AI, AI algorithms, Spatial audio, Deep fakes, Data differentiation, Machine learning, Cyber security, Enterprise technology, Rajeev Kapur, 11:05 Media, AI safety, OpenAI, Data utilization, Ethical AI alignment, Regulatory aspect, AI models, Innovation vs. ethics, AI data privacy, Explainability, Data scientists, Third-party audits, Transparent AI usage, AI-driven growth, Monitoring feedback loops, Worst case testing, Smart regulations, Digital twins, Disinformation, AI bias mitigation, Data as new oil, Refining data, Diverse community partn

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