AI Frontiers

Autonomous AI-enabled organizations are increasingly plausible. They would fundamentally break the way we regulate the economy.

For safety-critical domains like energy grids, "probably safe" isn't good enough. To fulfill the potential of AI in these areas, we need to develop more robust, mathematical guarantees of safety.

Over the course of 10 hours this April, a massive power outage swept across Spain and Portugal, causing extensive disruption. The most severe blackout in both countries’ history, it paralyzed entire transport networks and interrupted essential services throughout the Iberian Peninsula, causing estimated economic damages in the billions of euros — and at least eight fatalities.

Weeks earlier, a fire at an electrical substation had a similarly debilitating effect on Heathrow, Europe's busiest airport, shuttering it for an entire day. It led to over 1,300 flight cancellations and caused tens of millions in economic damage.

These are precisely the kind of incidents that AI could help mitigate. AI systems deployed in critical electrical infrastructure could analyze complex patterns and predict potential failures before they occur. They could monitor and respond to grid anomalies in milliseconds, catching signs of an overloaded system or impending blackout far more quickly than the [...]

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Outline:

(01:56) AI for Infrastructure Resilience

(06:27) Limitations of Current Safety Approaches

(09:11) A New Approach: Provable Safety Guarantees

(12:51) The Next Steps Toward Safeguarded AI

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A federal judge recently denied a motion to dismiss a wrongful death lawsuit against Character.AI and Google, allowing the potentially pathbreaking litigation to proceed. This could be a harbinger of coming legal challenges for artificial intelligence developers. The suit was filed by Megan Garcia, whose 14-year-old son, Sewell Setzer III, died by suicide in February 2024 after forming an intense emotional bond with a chatbot on the Character.AI platform.

Garcia's lawsuit accuses the companies of several legal claims, including but not limited to negligence, product liability, and deceptive trade practices, arguing that the chatbot's anthropomorphic design and lack of safeguards contributed to her son's deteriorating mental health.

The case raises questions about the responsibilities of AI developers and the extent to which they can be held liable for the harms resulting from their creations under existing laws. A larger question is whether existing law provides an adequate basis for [...]

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Outline:

(02:06) A Background on Tort Law

(04:26) State Laws

(09:41) Looking Forward

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In the absence of federal legislation, the burden of managing AI risks has fallen to judges and state legislators — actors lacking the tools needed to ensure consistency, enforceability, or fairness.

AI is increasingly being used for emotional support — but research from OpenAI and MIT raises concerns that it may leave some users feeling even worse.

Forming and maintaining friendships can be hard, particularly in an age where human interaction is increasingly digital. In a recent interview with podcaster Dwarkesh Patel, Meta founder Mark Zuckerberg claimed that the average American has fewer than three friends. “There are all these things that are better about physical connections when you can have them,” he said. “But the reality is that people just don't have as much connection as they want. They feel more alone a lot of the time than they would like.”

Zuckerberg thinks AI friends and AI therapists can fill that gap. Last month Meta took a step toward that vision with the launch of its AI app, which it describes as “the assistant that gets to know your preferences, remembers context and is personalized to you.”

Meta is far from the first or only company betting that AI is the future of companionship. Since [...]

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Outline:

(02:18) The Link Between Chatbot Power Users and Loneliness

(06:56) The Uncertain Promise of AI Companionship

(10:16) Finding a Place in Society for AI Companions

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Since 2022, I have reported on Russia's full-scale invasion of Ukraine, witnessing firsthand the rapid evolution of technology on the battlefield. Embedded with drone units, I have seen how technology has evolved, with each side turning once-improvised tools into cutting-edge systems that dictate life and death.

In the early months of the war, Ukrainian soldiers relied on off-the-shelf drones for reconnaissance and support. As Russian forces developed countermeasures, the two sides entered a technological arms race. This cycle of innovation has transformed the battlefield, but it has also sparked a moral descent — a "race to the bottom" — in the rules of war.

In the effort to eke out an advantage, combatants are pushing ethical boundaries, eroding the norms of warfare. Troops disguise themselves in civilian clothing to evade drone detection, while autonomous targeting systems struggle to distinguish combatants from noncombatants.

The evolution of automated drone combat in [...]

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Outline:

(01:16) The Rise of Robots First Warfare

(03:33) A Race to the Bottom in Norms

(08:56) Global Spillover

(10:59) Calls to Action

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An unchecked autonomous arms race is eroding rules that distinguish civilians from combatants.

Classic arguments about AI risk imagined AIs pursuing arbitrary and hard-to-comprehend goals. Large language models aren't like that, but they pose risks of their own.