
10/08/2023 10:47 PM 1179
How Hackers and Ordinary People are Making AI Safer

In August 2023, an inaugural generative red team challenge focused specifically on AI language models was held at Howard University. This event, covered by the Washington Post, involved hackers trying to make chatbots malfunction or behave in dangerous ways. For instance, one bot fabricated a completely fictitious story about a celebrity committing murder. While shocking, this demonstrates the need for scrutiny before AI systems interact with real humans. The event was a precursor to a larger public contest at the famous Def Con hacking conference in Las Vegas.
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However, the dangers of AI systems involve more than just direct hacking, security flaws or getting tricked into falsehoods. As pointed out by Rumman Chowdhury of Humane Intelligence, there are also "embedded harms" to look out for. For example, biases and unfair assumptions baked into the AI's training data or the creators' own cognitive biases. Historical data reflects existing discrimination and imbalances of power, which could get perpetuated through AI systems.
Red teaming exercises have shown immense promise in strengthening the safety and reliability of AI before deployment. But there are challenges too. Firstly, there is the issue of scale. Can enough vulnerabilities be identified given the rapid pace of evolution? The parameters and use cases are practically infinite. Tech policy expert Jack Clarke highlights that red teaming needs to occur continuously, not just before product launch.
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Red teaming provides a proactive way for AI developers to stay ahead of adversaries and mitigate risks preemptively. While not foolproof, it is a powerful paradigm and its popularity will only grow as AI becomes more pervasive. Going forward, the involvement of policymakers and the public along with internal testing will be key to making these exercises more robust and meaningful. Initiatives like the Generative Red Team Challenge, guided by multi-stakeholder participation, point the way towards safer and more beneficial AI for all.
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