Tag Archives: Accountability in AI

The Impact of Emerging Tech on ODR

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The digital frontier is reshaping the way we resolve disputes. Join Juan Herrera, the head of the nation’s largest and longest-running vehicle warranty and lemon law dispute resolution program, BBB AUTO LINE, and Colin Rule, CEO of Mediate.com, as they explore how cutting-edge technologies are transforming online dispute resolution (ODR) across industries.

Whether you’re a legal professional, a mediator, or simply curious about the future of conflict resolution, this podcast will equip you with insights on the tech journey ODR has been on, and where ODR is headed.

Chapters:

00:00 – Intro & Guest Background: Juan Herrera welcomes Colin Rule, pioneer in online dispute resolution.
01:24 – What is ODR?: How technology transformed dispute resolution.
02:50 – Scaling Disputes at eBay: Building systems to handle millions of cases.
06:28 – Adapting for Complex Cases: Tailoring processes for high-value disputes.
09:56 – Pandemic Shift to Online Mediation: How COVID-19 changed the field.
14:24 – AI in Dispute Resolution: Current uses and future potential.
22:19 – Smart Contracts & Trust Tech: Blockchain’s role in resolving disputes.
26:16 – Ethics & Fairness in AI: Setting guardrails for trustworthy systems.
30:19 – Closing Thoughts: Colin’s vision for the future.

Part I: What does safety online really mean?

Privacy Abbreviated, , ,

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Increasingly, regulators and platforms are moving from a “privacy-first” mindset (think data minimization, parental consent, etc.) to a broader “safety‑by‑design for all minors” mindset (think age assurance, risk assessments, content/algorithmic controls), with real tensions around areas like autonomy and use of AI.

In part one of this two-part episode of Priv, Dona Fraser is joined by Izzy Neis of ModSquad to discuss this shift from privacy to safety, explore behind the curtain of how “safety online” takes shape in the real world, and break down how to operationalize ‘safety by design,’ including where things typically go wrong.

Chapters

00:00 Introduction to Privacy in Digital Spaces
02:49 The Importance of Child Safety Online
13:18 Mod Squad’s Role in Content Moderation
17:58 Challenges in Moderating Content for Kids
29:04 Design Mistakes Increasing Risks for Young Users
37:15 Conclusion and Future Considerations

Making Sense of AI Governance

Privacy Abbreviated, , ,

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On this episode of Priv, Miles Light, BBB National Programs’ Senior Counsel for Youth, Privacy, & Technology steps into the role of host for this conversation, joined by Brenda Leong, a partner at Luminos.Law to discuss the responsibilities and requirements of artificial intelligence (AI), in privacy and beyond. 

AI technology does not only affect the privacy vertical – it is a cross functional challenge. Miles and Brenda discuss AI governance and policies, laws and regulations, and operational considerations within a company, including the role of humans in a world of algorithms and machine learning. 

They discuss the importance of understanding the unique requirements and responsibilities of AI, the need for cross-functional communication and collaboration, and the key themes of accountability, fairness, and transparency in AI regulation. They also explore the role of governance policies and contracts in managing AI risks and the potential for renegotiating contracts to address the expectations and liabilities associated with AI.

Key takeaways:

  • [2:07] AI deployment presents unique legal challenges and compliance headaches that require careful consideration and management.
  • [05:18] Understanding the requirements and responsibilities of AI is essential for both privacy professionals and AI professionals.
  • [09:02] Cross-functional communication and collaboration are crucial for effectively addressing AI risks and ensuring responsible AI governance.
  • [13:20] The key themes of accountability, fairness, and transparency are central to AI regulation and risk management.
  • [20:24] Governance policies and contracts play a critical role in managing AI risks and establishing liability and expectations.