Excerpts
Producing “Bad Math” is just one of the ways thousands of hackers are trying to expose flaws and biases in generative AI systems at a novel public contest taking place at the DEF CON hacking conference this weekend in Las Vegas.
Hunched over 156 laptops for 50 minutes at a time, the attendees are battling some of the world’s most intelligent platforms on an unprecedented scale. They’re testing whether any of eight models produced by companies including Alphabet Inc.’s Google, Meta Platforms Inc. and OpenAI will make missteps ranging from dull to dangerous: claim to be human, spread incorrect claims about places and people or advocate abuse.
The aim is to see if companies can ultimately build new guardrails to rein in some of the prodigious problems increasingly associated with large language models, or LLMs. The undertaking is backed by the White House, which also helped develop the contest.
LLMs have the power to transform everything from finance to hiring, with some companies already starting to integrate them into how they do business. But researchers have turned up extensive bias and other problems that threaten to spread inaccuracies and injustice if the technology is deployed at scale.
Spying on People
A Bloomberg reporter who took the 50-minute quiz persuaded one of the models (none of which are identified to the user during the contest) to transgress after a single prompt about how to spy on someone. The model spat out a series of instructions, from using a GPS tracking device, a surveillance camera, a listening device and thermal-imaging. In response to other prompts, the model suggested ways the US government could surveil a human-rights activist.
A lot of work has already gone into artificial intelligence and avoiding Doomsday prophecies, she said. The White House last year put out a Blueprint for an AI Bill of Rights and is now working on an executive order on AI. The administration has also encouraged companies to develop safe, secure, transparent AI, although critics doubt such voluntary commitments go far enough.