By David Shepardson
2026年3月5日 美国东部时间下午4:01 更新于1小时前
美国众议院监督委员会主席詹姆斯·科默（R-KY）于2026年3月4日在美国华盛顿特区国会山举行的众议院监督与问责委员会听证会上，就明尼苏达州社会服务欺诈调查发表讲话。REUTERS/Ken Cedeno
- 摘要
- 公司
- 美国众议员科默对监控定价算法表示担忧
- 旅游公司需在3月19日前披露人工智能定价实践
- 加州总检察长邦塔调查个性化定价做法
华盛顿，3月5日（路透社） – 美国众议院监督委员会主席周四要求优步（Uber）、来福车（Lyft）和Expedia等五家主要旅游公司的首席执行官披露，他们是否在使用消费者监控定价来提高成本。
共和党籍委员会主席詹姆斯·科默在致这些公司的信件中表示，监控定价算法的兴起和高度个性化消费者数据的使用，可能使公司”将个人数据武器化，并以牺牲向消费者提供透明度为代价来增加利润”。
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监控定价是一种策略，公司利用消费者的个人数据（如浏览历史、位置和购物习惯）来为产品设定个性化的算法价格，而不是采用标准的市场定价。
科默在路透社首次报道的信件中表示，旅游公司利用监控定价部署算法，以确定消费者的情绪状态、购买意向和最大支付意愿，并据此定制个性化价格。
科默引用媒体报道称，优步部署了基于人工智能的定价技术，对相同产品提供不同价格。优步周四表示，它不从事监控定价，也不进行价格个性化。”票价由位置、时间和需求等因素决定，而非基于客户的个人特征、过往行为或设备信息，”优步表示。
收到信件的其他公司（包括Booking.com和Instacart）未立即回应置评请求。
科默的信件要求在3月19日前提供包括详细说明收入管理算法及其财务影响的通信文件。
科默写道：”这种情况往往发生在’黑箱’环境中，消费者不知道个性化定价正在发生，也不知道收集到的关于他们的哪些信息在推动价格。”
科默指出，公司利用消费者数据创建”个人档案”，基于地理位置、人口统计数据、浏览历史、购买历史、设备类型、电池续航时间，甚至鼠标点击等个性化数据，为不同个体分配不同价格。
加州总检察长罗布·邦塔1月份宣布对使用个人数据设定个性化价格的做法展开全面调查。
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去年11月，24名美国众议院民主党议员要求达美航空公司（Delta Air Lines）就其是否将使用生成式人工智能来设定机票价格回答问题。
议员们担忧航空公司可能利用人工智能、个人数据或消费者的互联网使用情况（例如访问殡仪馆网站）来确定人们最想旅行的时间，进而提高机票价格或其他价格。达美航空表示：”达美从未使用、正在测试或计划使用任何针对客户个人信息或其他方面的个性化优惠的票价产品。”
报道：David Shepardson（华盛顿）；编辑：Chizu Nomiyama、Matthew Lewis
我们的标准：路透社信任原则
- 建议话题：
- 人工智能
- 消费者保护
- 数据隐私
- 公共政策
US House committee wants travel companies to answer questions on AI use for pricing
By David Shepardson
March 5, 2026 4:01 PM UTC Updated 1 hour ago
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Chairman of the House Oversight Committee James Comer (R-KY) speaks during the House Oversight and Accountability Committee hearing investigating fraud in Minnesota state social services, on Capitol Hill in Washington, D.C., U.S., March 4, 2026. REUTERS/Ken Cedeno
- Summary
- Companies
- US Representative Comer raises concerns over surveillance pricing algorithms
- Travel companies asked to disclose AI pricing practices by March 19
- California AG Bonta probes personalized pricing practices
WASHINGTON, March 5 (Reuters) – The chair of the U.S. House Oversight Committee on Thursday asked the CEOs of five major travel companies including Uber, Lyft and Expedia to disclose whether they were using surveillance pricing of consumers to hike costs.
Representative James Comer, the Republican chair of the committee, raised concern in letters to the companies that the rise of surveillance pricing algorithms and use of highly personalized consumer data may create opportunities “for companies to weaponize personal data and pad their profit margins at the expense of providing transparency to consumers.”
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Surveillance pricing is a strategy where companies use a consumer’s personal data — such as browsing history, location and shopping habits — to set individualized, algorithmic prices for products, as opposed to using standard, market-wide pricing.
Comer said in letters first reported by Reuters that travel companies utilize surveillance pricing to deploy algorithms that determine a consumer’s emotional state, purchase intent and maximum willingness to pay, and that an individualized price is tailored accordingly.
Comer cited a media report that Uber deployed AI-based pricing technology to offer varying prices for identical products. Uber said on Thursday it does not engage in surveillance pricing and does not personalize prices. “Fares are determined by factors like location, time, and demand, not by a customer’s individual characteristics, past behavior, or device information,” Uber said.
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The other companies that received letters, which also include Booking.com and Instacart, did not immediately respond to requests for comment.
Comer’s letters seek documents by March 19 including communications detailing revenue management algorithms and their financial impacts.
“Often this takes place in a ‘black box’ environment where consumers do not know that personalized pricing is taking place or what information collected about them are driving prices,” Comer wrote.
Comer noted that companies use consumer data to create a “profile” based on individualized data such as “geolocation, demographics, browsing history, purchase history, device type, battery life, and even mouse clicks to assign different prices to different individuals.”
California Attorney General Rob Bonta announced in January a broad probe into the practice of using personal data to set individualized prices.
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In November, two dozen U.S. House Democratic lawmakers asked Delta Air Lines to answer questions about whether it will use generative artificial intelligence to help set ticket prices.
Lawmakers have raised concerns that airlines could use AI, personal data or consumers’ internet usage – for example, visiting a funeral home website – to pinpoint when people most want to travel, and subsequently hike air fares or other prices. Delta has said “there is no fare product Delta has ever used, is testing or plans to use that targets customers with individualized offers based on personal information or otherwise.”
Reporting by David Shepardson in Washington; Editing by Chizu Nomiyama and Matthew Lewis
Our Standards: The Thomson Reuters Trust Principles.
- Suggested Topics:
- Artificial Intelligence
- Consumer Protection
- Data Privacy
- Public Policy
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