Artificial Intelligence
Grading the safety practices of leading AI companies
Rapidly improving AI capabilities have increased interest in how companies report, assess and attempt to mitigate associated risks. The 2024 FLI AI Safety Index convened an independent panel of seven distinguished AI and governance experts to evaluate the safety practices of six leading general-purpose AI companies across six critical domains.
Artificial Intelligence is racing forward. Companies are increasingly creating general-purpose AI systems that can perform many different tasks. Large language models (LLMs) can compose poetry, create dinner recipes and write computer code. Some of these models already pose major risks, such as the erosion of democratic processes, rampant bias and misinformation, and an arms race in autonomous weapons. But there is worse to come.
AI systems will only get more capable. Corporations are actively pursuing ‘artificial general intelligence’ (AGI), which can perform as well as or better than humans at a wide range of tasks. These companies promise this will bring unprecedented benefits, from curing cancer to ending global poverty. On the flip side, more than half of AI experts believe there is a one in ten chance this technology will cause our extinction.
This belief has nothing to do with the evil robots or sentient machines seen in science fiction. In the short term, advanced AI can enable those seeking to do harm – bioterrorists, for instance – by easily executing complex processing tasks without conscience.
In the longer term, we should not fixate on one particular method of harm, because the risk comes from greater intelligence itself. Consider how humans overpower less intelligent animals without relying on a particular weapon, or an AI chess program defeats human players without relying on a specific move.
Militaries could lose control of a high-performing system designed to do harm, with devastating impact. An advanced AI system tasked with maximising company profits could employ drastic, unpredictable methods. Even an AI programmed to do something altruistic could pursue a destructive method to achieve that goal. We currently have no good way of knowing how AI systems will act, because no one, not even their creators, understands how they work.
AI safety has now become a mainstream concern. Experts and the wider public are united in their alarm at emerging risks and the pressing need to manage them. But concern alone will not be enough. We need policies to help ensure that AI development improves lives everywhere – rather than merely boosts corporate profits. And we need proper governance, including robust regulation and capable institutions that can steer this transformative technology away from extreme risks and towards the benefit of humanity.