2026年6月10日 / 美国东部时间晚上7:30 / 哥伦比亚广播公司新闻
作者：阿莉莎·斯帕迪
2023年，理查德·狄龙因涉嫌在佛罗里达州杰克逊维尔海滩的一家麦当劳试图“诱骗儿童”被警方逮捕，他告诉警方，案发时他身在300多英里之外。
警方用来驳斥他不在场证明的关键证据是：人脸识别软件将嫌疑人照片与狄龙的照片匹配上了。
狄龙后来被无罪释放，本周三，他成为美国公民自由联盟（ACLU）一起新诉讼的原告，该诉讼针对杰克逊维尔海滩警察局及其他机构，他认为自己遭遇了人工智能图像匹配技术的滥用。
“警方用一个容易出错的人工智能系统代替了调查工作，”他们在起诉书中写道。
这起案件是为警方日益广泛使用的强大新技术设立监管界限的最新尝试。当警方拥有嫌疑人照片却不知道其身份时，人脸识别正成为越来越常见的执法工具。据乔治敦大学法学院隐私与技术中心的数据，公共数据库中存储着1.17亿美国人的面部图像。
杰克逊维尔海滩警方和杰克逊维尔警长办公室均拒绝置评。
事件始于2023年11月，警方称一名男子在麦当劳接近一名12岁女孩，并试图将她从父母身边诱走。
一个月后，狄龙接到了杰克逊维尔海滩警察局警官斯科特·奥康奈尔的电话。他表示，在通话中，奥康奈尔“一遍又一遍指责我犯下了我明知自己没有犯过的骇人罪行”。
狄龙告诉哥伦比亚广播公司新闻，他当时心想“我的人生完了……AI说就是我干的，我要怎么证明自己没做？”
在与奥康奈尔的通话中，狄龙否认涉案，并向警方提及自己因皮肤癌手术留下的、从发际线延伸到鼻子的“标志性疤痕”。
狄龙告诉我们，当他看到自己的照片与嫌疑人照片并排放在一起时，他对两者的差异感到震惊。“那些疤痕完全不一样，”他说，“这真的让我难以置信。”
通话结束后，住在佛罗里达州其他地区的狄龙联系了当地警方，担心自己遭遇了诈骗。他声称，杰克逊维尔海滩警方和当地警方都告诉他这是“一场可怕的骗局”，他接到的那通电话“违反了规程或政策”。
但狄龙表示，两个部门的安抚都不足以让他安心，“这件事困扰了我好几个月……我总在想，警方随时可能找上门，以我没有犯下的罪名将我逮捕。”
八个月后，李县警长办公室的一名副手在狄龙家中将其逮捕。他说，他恳求警方抓错了人。狄龙称，其中一名警官当时告诉他：“如果你说的是真的，那你绝对有理由提起诉讼。”
狄龙在监狱里被关押了一夜，根据他的起诉书，他“不得不借钱并抵押卡车的产权证来缴纳保释金”。
尽管大约两个月后所有指控都被撤销，但他至今仍面临诸多困境。
“现在我每次出门想和孩子互动时，都会下意识告诉自己别这么做。到处都是摄像头，”他说，“这毁了我的生活，我再也没法和孩子们正常互动了。我觉得所有人都在盯着我，感觉大家都会说‘就是那个上过新闻的家伙，离他远点’。”
错误识别狄龙的人脸识别系统名为“面部分析比较与审查系统”，简称FACESNXT。
根据起诉书，警官戴维·科希尔从显示事件监控录像的电脑屏幕上拍下了嫌疑人的照片。杰克逊维尔警长办公室随后使用FACESNXT对这些照片进行了比对，结果显示与狄龙的面部特征“匹配度达93%”。
在2015年的FACESNXT培训演示中，展示了区分优质和劣质照片质量的具体案例。演示中包含警告称，照片的“偏离轴线”拍摄角度和“不均匀照明”可能会导致软件样本质量不佳。狄龙在起诉书中声称，此次使用的照片“部分带有阴影且拍摄角度偏离轴线”。
美国公民自由联盟言论、隐私与技术项目副主任内森·弗里德·韦瑟警告称，警方常常将软件给出的“匹配结果”误认为是确凿证据。
他告诉哥伦比亚广播公司新闻，这类技术的制造商和其他警方部门都曾解释称，“这项技术无法也不会生成匹配结果”。相反，它只会生成一份可能的线索候选名单，需要执法部门自行开展独立调查。
狄龙的案件只是已知的十余起利用AI人脸识别实施错误逮捕的案件之一。韦瑟表示，狄龙的被捕证明了“这项技术从根本上就是危险的”。
起诉书指控杰克逊维尔海滩警方从未“向受害者出示任何照片”，而是仅凭麦当劳一名员工的照片列队指认——该员工并非嫌疑人与未成年人互动过程的目击者。
如今，狄龙希望自己的案件能带来公正并提高公众意识。他告诉哥伦比亚广播公司新闻：“我希望这场诉讼的结果是，防止其他人经历我所遭受的创伤。”
使用人脸识别技术的警方
https://www.cbsnews.com/video/facial-recognition-video-60-minutes-2021-05-16/
人脸识别技术遭 wrongful arrests 争议 警方仍在使用
（时长13:25）
Florida man blames wrongful arrest on “error-prone” AI facial recognition
June 10, 2026 / 7:30 PM EDT / CBS News
By Alyssa Spady
When police arrested Richard Dillon in 2023 for allegedly trying to “lure a child” away from a McDonald’s in Jacksonville Beach, Florida, he told them he was more than 300 miles away at the time of the crime.
The key evidence police used to puncture his alibi: facial recognition software matched an image of the suspect to Dillon’s photo.
Dillon was later cleared, and on Wednesday he became a plaintiff in a new ACLU lawsuit filed against the Jacksonville Beach Police Department and others over what he believes was a case of misuse of the AI-driven image matching technology.
“Police let an error-prone artificial intelligence system stand in for an investigation,” they argue in their complaint.
The case is the latest attempt to establish guardrails for powerful new technology that police are increasingly using to solve one of the toughest aspects of any investigation — when they have an image of a suspect, but not that person’s identity. Facial recognition is an increasingly common law enforcement tool, with public databases holding images of 117 million Americans, according to the Center on Privacy and Technology at Georgetown Law School.
Jacksonville Beach police and the Jacksonville Sheriff’s Office both declined to comment.
The episode began in November 2023, when police say a man approached a 12-year-old in a McDonald’s and tried to lure her away from her parents.
A month later, Dillon received a call from Jacksonville Beach Police Officer Scott O’Connell. He says that during the call, O’Connell “accused me over and over again of a heinous crime that I knew I didn’t commit”.
Dillon told CBS News he remembers thinking “my life is over. … AI says I did this, how am I going to prove that I didn’t?”
During the phone call with O’Connell, Dillon says he denied involvement and told police of “distinctive scars” he has from his hairline down to his nose from a skin cancer surgery.
Dillon told us that once he saw his photo side by side with the photos of the suspect, he was shocked at the differences. “The scars are nowhere near alike,” he said. “It absolutely blew my mind.”
Following the call, Dillon, who lives elsewhere in Florida, contacted his local police department, worried he was being scammed. He claims that both Jacksonville Beach and his local police told him it was a “horrible hoax” and that the call he received was “against protocol or policy.”
But Dillon says reassurances from both departments weren’t enough and that “it haunted me for months … thinking at any time the police could show up here and arrest me for a crime that I didn’t commit.”
Eight months later, Dillon was arrested at his home by a Lee County sheriff’s deputy. He says he pleaded with officers that they had the wrong suspect. At one point Dillon says that one officer told him “if what you’re telling me is true, you got one hell of a lawsuit.”
Dillon was held overnight in jail and according to his lawsuit was “forced to borrow money and pledge the title to his truck to post bond.”
He says he still faces challenges even though all the charges were dropped about two months later.
“Now every time I go somewhere and I want to interact with a kid, I think to myself, don’t do it. There’s cameras. It’s ruined my life as far as being able to interact with children,” he said. “I feel like people are watching me. I feel like people are saying, hey, there’s that guy that was on the news, stay away from him.”
The facial recognition system that wrongly identified Dillon is called the Face Analysis Comparison and Examination System, or FACESNXT.
According to the lawsuit, Officer David Cohill took cellphone photos of the suspect from a computer screen displaying the surveillance footage of the incident. The photos were then run through FACESNXT by the Jacksonville Sheriff’s Office. It found a “93% match on facial features” to Dillon.
In a 2015 FACESNXT training presentation, specific examples are shown to illustrate what good versus poor image quality photos look like. The presentation includes a warning that “off axis” framing and “non-uniform lighting” in photos could lead to a poor quality sample for the software. Dillon alleges in his lawsuit that the images used were “partially shadowed and off-axis.”
Nathan Freed Wessler, deputy director with the ACLU’s Speech, Privacy, and Technology Project, warns that oftentimes police mistake a “match” made by the software with confirmation.
He told CBS News that makers of such technology and other police departments have explained that “this technology does not and cannot produce matches.” Instead, it produces a candidate list of possible leads, leaving law enforcement to conduct their own independent investigation.
Dillon’s case is just one of more than a dozen publicly known cases where a false arrest was made using AI facial recognition. Wessler says Dillon’s arrest is proof that “this technology is fundamentally dangerous.”
The complaint alleges that Jacksonville Beach police never “presented any photographs to the victim” and instead used the photo lineup identification from an employee at the McDonald’s who was not an eyewitness to the suspect’s interaction with the minor.
Now Dillon hopes that his case will bring him justice and raise awareness. He told CBS News, “I’m hoping that the outcome of this is to prevent other people from going through the trauma that I went through.”
Police using facial recognition
https://www.cbsnews.com/video/facial-recognition-video-60-minutes-2021-05-16/
Police using facial recognition amidst claims of wrongful arrests
(13:25)
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