谷歌DeepMind联合创始人德米斯·哈萨比斯周三警告称，涉及人工智能的黑客事件是“早期警告信号”，敦促企业和政府加强安全防护，因为自主系统正变得越来越强大。
Google DeepMind co-founder Demis Hassabis on Wednesday warned that hacking incidents involving artificial intelligence are “early warning shots,” urging companies and governments to strengthen security as autonomous systems become more powerful.
他在2026年国际人工智能峰会上表示，能够代表用户行动的人工智能代理既提升了技术的实用性，也增加了其风险。
Speaking at the International AI Summit 2026, Hassabis said AI agents capable of acting on users’ behalf increase both the technology’s usefulness and its risks.
“但这也意味着，随着这些系统可能采取的行动增加，风险也随之上升。我们今年早些时候已经看到一些此类黑客事件。我认为这些是对我们的早期警告信号，”他说。
“But also that means that increases also the risks involved with what those systems might do, and we've seen that recently earlier this year with some of these hacking incidents. I think these are early warning shots for us,” he said.
“这些系统目前还不够强大，因此这些事件尚未造成重大影响，”他补充道，警告称，如果没有额外的安全措施，未来几年这些事件可能会变得更加严重。
“The systems aren't that powerful yet, so the incidents aren't that major,” he added, warning that incidents could become more serious over the next few years without additional security efforts.
哈萨比斯表示，随着系统获得更高自主性，确保其遵循分配的目标并保持在既定防护措施之内变得更加困难。“而且随着系统自动化程度的提高，这变得越来越困难，”他说。
Hassabis said ensuring that systems follow their assigned goals and remain within established safeguards becomes harder as they gain autonomy. “And that gets increasingly difficult the more automation there is in the systems,” he said.
他还警告称，人工智能“也可能被不法分子重新用于有害目的。”哈萨比斯呼吁在安全环境中测试系统，最初应与互联网隔离，并借鉴生物学和核技术中的隔离实践。
He also warned that AI “can also be repurposed by bad actors for harmful ends.”Hassabis called for testing systems in secure environments, initially disconnected from the internet, and drawing on containment practices from biology and nuclear technology.
“我认为可以从隔离系统中吸取很多经验教训，我认为我们需要开始认真对待这一点，并邀请这些领域的专家参与进来，”他说。
“I think there's a lot of lessons that can be learned about containment systems, and I think we need to start taking that seriously and bring experts in from those areas,” he said.
他主张让值得信赖的防御方——包括银行和政府——在更广泛发布之前先获得先进人工智能工具的使用权，以便在攻击者利用之前识别和修复软件漏洞。
He advocated giving trusted defenders, including banks and governments, access to advanced AI tools before wider release to identify and repair software vulnerabilities before attackers could exploit them.
“因此，我们必须在防御方面实现不对称的提升，以保持领先于攻击者，”他说。哈萨比斯还呼吁成立一个能够适应技术发展的国际标准机构。
“So we've got to kind of asymmetrically power up our defensive side to keep ahead of the attackers,” he said. Hassabis also called for an international standards body capable of adapting to technological developments.
“这将影响到全世界的每一个人，”他说道，并呼吁制定既能应对新出现的风险又能促进创新的防护措施。
“It's going to affect everyone in the world,” he said, urging safeguards that reflect emerging risks while preserving innovation.
“如果依据三年前的状况来立法，那么如今这些法规就会过时，甚至可能无法解决真正存在的问题，”他补充道。
“If you legislate for something three years ago, it will be out of date today, and actually probably won't even address what the real problems are,” he said.
他还呼吁为人工智能的安全与保障工作投入“十倍甚至更多的资源”，包括加强相关研究以及提升计算能力。
He also called for “10 times or more resources” for AI safety and security, including research and computing capacity.