TechCrunch News 2024年11月19日
ServiceTitan names LLMs from Microsoft, OpenAI as risk factors
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ServiceTitan在IPO文件中详细列出了其使用生成式AI的潜在风险,包括AI可能产生的不准确信息、歧视性行为、版权侵权、数据安全问题等。文章指出,尽管生成式AI在销售、营销和客户关系管理等领域展现出巨大潜力,但其可靠性仍需提高,ServiceTitan的风险提示也反映了当前生成式AI应用的初期阶段,其发展可能带来机遇与挑战并存的局面。ServiceTitan的案例也提醒我们,在拥抱AI技术的同时,也需要关注其潜在风险,并制定相应的规避措施。

🤔 **AI幻觉和歧视风险:**ServiceTitan指出,其使用的生成式AI可能产生不准确的信息,甚至出现歧视性行为,这可能对业务造成负面影响。例如,AI生成的营销文案可能包含错误信息,或者在客户服务中做出带有歧视性的回复。

⚠️ **版权和知识产权风险:**ServiceTitan警告,其使用的生成式AI可能侵犯他人的版权或知识产权。例如,AI生成的创意内容可能与现有作品存在相似性,导致版权纠纷。

🔒 **数据安全和隐私风险:**ServiceTitan表示,使用生成式AI意味着暴露更多数据给潜在的网络攻击,同时也存在员工或承包商误用客户数据或将其用于训练AI模型的风险,这可能导致数据泄露和安全问题。

💸 **人才和成本风险:**ServiceTitan担心难以招募到所需的AI人才,即使招到,也需要支付高昂的薪资。此外,其AI产品依赖于微软和OpenAI等第三方服务,这些服务一旦出现问题,也可能影响ServiceTitan的业务。

⚖️ **监管和伦理风险:**ServiceTitan意识到,其AI应用未来可能面临社会和伦理方面的挑战,并可能受到监管机构的约束,这可能导致额外的成本和限制。

Every IPO S-1 prospectus includes a section listing all kinds risk factors for why its stock may not be a good buy. Many of them are boilerplate warnings, cautions over financial performance or acts of war and nature. But some of them are more specific to the company. 

With ServiceTitan, a cloud service startup that filed public IPO documents with the SEC on Monday, we may be witnessing the birth of a new boilerplate warning: LLMs that help grow business could also lead to damage.

ServiceTitan had an 1,150-word risk factor on how its use of AI, specifically generative AI, could adversely impact its business. It warned that: LLM hallucinatory behavior could produce “inaccurate” information and engage in “discriminatory” behaviors; its LLMs could infringe on others’ copyright or intellectual property; using LLMs means exposing more data to potential hacks and harm; then again, if it can’t get enough data, it may not be able to continue offering AI products or building new ones. On top of that, the company cautions that its employees or contractors could possibly mistakenly share its customers’ private data with third-party systems that could then lead to security breaches, or use of that data to train their models. 

ServiceTitan warns that its use of AI may one day run afoul of social and ethical issues. Or that future regulations could cost it money.

ServiceTitan also fears that it may not be able to hire the AI experts it needs for its products and, even if it can, that talent will be pricey. ServiceTitan warns its AI products rely on third-party services it doesn’t control — and specifically names Microsoft and OpenAI. So, if they become unavailable or have issues, that’s a risk too.

These warnings are interesting because ServiceTitan operates at the nexus of the industries that GenAI, specifically LLM-driven AI agents, are expected to dominate. ServiceTitan offers software for field service industry businesses — largely small businesses, think construction contractors, HVAC professionals, lawn care and the like. Its software performs functions like marketing, customer relationship management, customer support and accounting. (ServiceTitan declined further comment.)

AI agents are currently marching so furiously towards all things sales, marketing, and CRM that the king of the CRM market, Salesforce CEO Marc Benioff, told TechCrunch that his company alone could have a billion AI agents working at Salesforce’s customers’ companies in a year.

ServiceTitan has been offering AI-powered services since at least 2023, called Titan Intelligence. In October, it also rolled out a suite of AI agents for sales, customer service and call centers.

But LLMs were designed to study words, images, and data and create their own versions of things. That is, they were designed to make stuff up. OpenAI’s scientists are busy racing towards general intelligence — mimicking human’s ability to infer even better — meaning they are working on AI that they hope will be even more creative.

Sure, LLM reliability for business usage is something that should be solved over time as more companies specialize in agents where reliability, not creativity, is essential. But it’s worth noting that those that are selling AI bots today are actually saying the quiet part out loud in their legalese: at this early stage, AI adoption could create as many problems as it solves.

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