The Lawfare Podcast cover image

The Lawfare Podcast

Jim Dempsey on Standards for Software Liability

Jan 24, 2024
Jim Dempsey, Senior Policy Adviser at Stanford Cyber Policy Center, discusses the proposal for a software liability regime to shift liability onto those who should be securing their software. Topics include legal theories of liability, process-based safe harbor, certification approach, defining software liability standards, design flaws and liability, and the need for quick action in policy-making.
01:04:22

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The proposed software liability regime suggests a rules-based approach to establish per se liability for specific flaws, incentivizing developers to eliminate them and improve software security.
  • To address the complexity of software, a liability regime should also cover design flaws, adopting a defects analysis approach to determine liability for flaws that may not be explicitly listed but are considered unreasonably dangerous.

Deep dives

Defining the Floor: Minimum Standard of Care for Software

The proposed liability regime for software development starts with a rules-based approach to define a floor, which sets the minimum legal standard of care for software. This floor focuses on specific product features or behaviors that should be avoided, such as default passwords, path traversal, and buffer overflow. By identifying these known weaknesses and flaws commonly exploited by attackers, liability can be attached if a product includes these flaws. The goal is to create per se liability for these specific flaws, incentivizing developers to eliminate them and improve software security.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode