Sharebird

How are we thinking about liability and accountability when our AI agents make autonomous decisions?

Answer
2 Answers
  1. Mona Salvi
    Mona Salvi

    Capital One Director, Product • 5mo

    The conversation around AI is increasingly converging on a shared-accountability model. AI agents cannot be legally liable on their own, accountability always traces back to the humans and organizations that design, deploy, and authorize them. As autonomy increases, expectations rise for responsible governance, strong guardrails, and continuous oversight. If an AI agent makes a bad decision, the liability doesn’t belong to the model, it belongs to the people who gave it authority. In practice, t ...Read More

    3,802 Views
  2. Rodrigo Davies
    Rodrigo Davies

    Figma Product, AI • 4mo

    A few key principles I always try to follow:1. Transparency - it should always be obvious who is taking an action (a person or AI). Clarity trumps "magic" every time.2. Auditability - there should always be a record of every step AI takes, in case the user or product team needs to debug later. The more of that you can show to the user in a useful form, the better. Enabling users to self-diagnose and solve issues is empowering and trust building.3. Expect to need off ramps and controls - agents w ...Read More

    595 Views

Related Ask Me Anything Sessions

Top Product Management Mentors