DeepScore markets facial and voice analysis app for trustworthiness scoring despite experts' doubts
DeepScore, a Tokyo-based company, is marketing an app that uses facial and voice recognition to score people's trustworthiness for lenders and insurers in Japan, Indonesia, Vietnam and the Philippines. The company says the app can detect deception with 70 per cent accuracy, but researchers and privacy advocates say there is no reliable scientific basis for such judgments and warn of discrimination and privacy harms. The chief executive said the system is only one part of lenders' and insurers' decision-making and that people can choose not to use it. Critics respond that an unequal balance of power makes consent difficult.
- Company involved
- DeepScore
- AI system involved
- DeepScore
6 source articles · read the reporting →
ViaQuatro's facial recognition system in São Paulo metro challenged in court
In April 2018, ViaQuatro installed the Digital Interactive Doors System, developed by AdMobilize, on the São Paulo metro's yellow line. The system used cameras to detect passengers' faces and claimed to infer their emotion, age, and gender in order to target advertisements. The Brazilian Institute of Consumer Protection (IDEC) filed a public civil action alleging that the system violated consumer and data protection laws by processing biometric data without consent and making pseudoscientific and discriminatory inferences. A judge ordered the cameras removed in August 2018, and the case is pending a final ruling.
- Company involved
- ViaQuatro
- AI system involved
- Digital Interactive Doors System (DID system)
10 source articles · read the reporting →
Airbnb smart-pricing algorithm increased racial revenue gap, study finds
A study by Carnegie Mellon University found that Airbnb's smart-pricing algorithm increased the revenue gap between White and Black hosts, even though it narrowed the gap among hosts who adopted it. The algorithm, which sets daily prices automatically, was adopted by fewer Black hosts, so its suggested prices were closer to the optimum for White hosts. The researchers said the tool could reduce racial disparities only if more Black hosts adopted it.
- Company involved
- Airbnb
- AI system involved
- Airbnb smart-pricing algorithm
10 source articles · read the reporting →
Adobe uses Creative Cloud user data to train AI
Adobe's content analysis feature may scan Creative Cloud and Document Cloud files to train machine learning models, including object recognition in Lightroom and Liquid Mode in Acrobat. The company says it may analyze images, audio, video, text and other documents stored on its servers. Adobe offers an opt-out in account privacy settings, but the article notes the company did not ask first.
- Company involved
- Adobe
- AI system involved
- Content analysis
10 source articles · read the reporting →
Hospitals use Epic AI to predict Covid-19 decline without validation
Dozens of hospitals across the US are using Epic's deterioration index AI system to predict which Covid-19 patients will become critically ill, despite the tool not being validated for the new disease. The rapid deployment during the pandemic bypassed normal testing and validation processes.
- AI system involved
- Deterioration index
9 source articles · read the reporting →
USPS algorithm RRECS causes pay cuts for two-thirds of rural mail carriers
The United States Postal Service (USPS) implemented a new algorithm, RRECS, to evaluate rural carrier routes and determine pay. Due to flaws in how carriers scanned packages, the algorithm underestimated route times, resulting in pay cuts for 66 per cent of rural carriers, some losing thousands of dollars annually. Carriers report that they were not adequately trained on the system and that the cuts are scheduled to take effect, though they have been postponed multiple times. The USPS stated that the system is the result of a nationally negotiated agreement.
- Company involved
- United States Postal Service
- AI system involved
- RRECS
9 source articles · read the reporting →
Denmark's Udbetaling Danmark welfare algorithm illegally surveilled millions
Udbetaling Danmark (UDK), Denmark's centralized welfare payment agency, used automated algorithms to check eligibility and detect fraud. The system collected personal data on millions of beneficiaries and their relatives, including non-beneficiaries, in what a think-tank called 'systematic surveillance'. A complaint to the Danish Data Protection Authority led to a ruling that the data collection violated GDPR, and UDK eventually deleted the illegally obtained data. The system also caused erroneous payments, including underpaying 300,000 pensioners by 94 million euros annually.
- Company involved
- Udbetaling Danmark
10 source articles · read the reporting →
Amazon sellers lose thousands after RepricerExpress pricing glitch
A software glitch in RepricerExpress's automated repricing system caused products sold by Amazon sellers to be priced at 1p, leading to significant financial losses for the sellers. RepricerExpress apologised but did not offer compensation, while Amazon said it had reached out to affected sellers but many reported no response. Some sellers have instructed lawyers to take legal action against RepricerExpress and Amazon.
- Company involved
- RepricerExpress
- AI system involved
- RepricerExpress
10 source articles · read the reporting →
iRobot considers selling Roomba home mapping data to advertisers
iRobot's Roomba vacuum cleaners with mapping technology collect detailed floor plan data of users' homes. The company's CEO stated he is considering selling this data to companies like Amazon, Apple, or Google for advertising purposes. Robotics experts express concern about the lack of user consent and potential privacy implications.
- Company involved
- iRobot
- AI system involved
- Roomba 960/980
10 source articles · read the reporting →
ScaleFactor reportedly failed to deliver promised automated bookkeeping software
ScaleFactor, an Austin-based startup, is reported to have failed to deliver the automated, real-time bookkeeping tools it promised customers, instead relying on human bookkeepers and a Filipino contract accounting firm. The company told Forbes in June that it was shutting down, initially blaming the pandemic, but Forbes later reported that its problems predated Covid-19. Investors reportedly came to see the company as more of a services business than a software platform, and pulled funding after a pivot to a marketplace model. No legal or regulatory action is reported.
- Company involved
- ScaleFactor
10 source articles · read the reporting →
UnitedHealth used ALERT algorithm to limit mental health coverage, regulators found
ProPublica reports that UnitedHealth Group's Optum subsidiary used the ALERT algorithm to flag mental health patients and therapists as outliers, leading to therapy coverage denials. Regulators in California, Massachusetts and New York alleged this breached the federal Mental Health Parity and Addiction Equity Act, and UnitedHealth agreed to restrict the system in those jurisdictions. The company denies wrongdoing and says its programmes are compliant. Affected patients, including Medicaid enrollees, were left to pay out-of-pocket or go without care.
- Company involved
- UnitedHealth Group
- AI system involved
- ALERT
5 source articles · read the reporting →
Reaves Law Firm, PLLC v. Baker, Donelson, Bearman, Caldwell & Berkowitz, PC, et al. (W.D. Tennessee): AI-hallucinated content in court…
The AI generated fictitious legal authorities and arguments that were filed in a court motion, misleading the court and opposing counsel.
- Company involved
- Reaves Law Firm, PLLC
1 source article · read the reporting →
Study finds Midjourney, DALL-E 2, Stable Diffusion accept over 85% of fake news prompts
A study by AI startup Logically tested Midjourney, DALL-E 2, and Stable Diffusion and found that they accepted over 85% of prompts seeking to generate fake political news. The systems generated images of ballot stuffing, small boat arrivals, and explosions. Logically warned that the lack of moderation could pose threats to upcoming elections. Stability AI responded by stating its ethical use license and measures to prevent misuse.
- Company involved
- Midjourney, OpenAI, Stability AI
- AI system involved
- Midjourney, DALL-E 2, Stable Diffusion
8 source articles · read the reporting →
Answer.AI tests Devin and reports 14 failures in 20 tasks
Answer.AI's team tested Devin, an autonomous AI coding assistant, on 20 real-world tasks over a month. Devin succeeded in only 3 tasks, failed 14, and was inconclusive in 3. The team found Devin often produced overly complex or hallucinated solutions and could not recognize fundamental blockers. They ultimately decided to stick with tools that allow more human control.
- AI system involved
- Devin
5 source articles · read the reporting →
Researchers jailbreak Stable Diffusion and DALL-E 2 to generate disturbing images
Researchers from Johns Hopkins and Duke universities developed a method called SneakyPrompt that uses reinforcement learning to bypass safety filters in text-to-image AI models. The technique allowed them to generate images of nudity and violence from Stable Diffusion and DALL-E 2. OpenAI has since fixed the vulnerability in DALL-E 2, but Stable Diffusion 1.4 remains vulnerable. Stability AI says it is working with the researchers to improve defenses.
- AI system involved
- Stable Diffusion 1.4 and DALL-E 2
5 source articles · read the reporting →
IRCC uses AI triage for Temporary Resident Visa applications
Immigration, Refugees and Citizenship Canada (IRCC) uses an AI system called Advanced Analytics to triage Temporary Resident Visa applications from India and China. The system categorizes applications into tiers, with Tier 1 approved automatically and others sent to human officers. Critics allege the system lacks transparency and may introduce bias, leading to visa refusals without clear rationale. The author, a Canadian immigration lawyer, is filing Federal Court cases on behalf of clients affected by refusals.
- Company involved
- Immigration, Refugees and Citizenship Canada (IRCC)
- AI system involved
- Advanced Analytics Triage of Overseas Temporary Resident Visa Applications
10 source articles · read the reporting →
Israel uses AI system 'the Gospel' to select bombing targets in Gaza
The Israel Defense Forces (IDF) has been using an AI-based targeting system called 'the Gospel' to select bombing targets in Gaza during the war with Hamas. The system generates a high volume of target recommendations, significantly increasing the pace of airstrikes. Critics argue that the reliance on AI leads to insufficient human oversight and greater civilian harm. The IDF maintains that it follows international law and takes precautions to mitigate civilian casualties.
- Company involved
- Israel Defense Forces (IDF)
- AI system involved
- the Gospel (Habsora)
9 source articles · read the reporting →
Bavarian police test Palantir data mining with real personal data
The Bavarian State Criminal Police Office (LKA) has been testing Palantir's data mining software, called VeRa, with real personal data for months. The Bavarian data protection commissioner only learned of the test through a media inquiry and has announced a review. The Interior Ministry claims the test is lawful under current law, but critics argue a legal basis is missing.
- Company involved
- Bayerisches Landeskriminalamt
- AI system involved
- VeRa
7 source articles · read the reporting →
Ubisoft faces backlash after announcing Ghostwriter AI writing tool
Ubisoft has announced Ubisoft Ghostwriter, an AI tool that generates first drafts of non-player character dialogue. The company says it saves writers time, but writers and creatives have criticised it, saying it will require time-consuming editing and could lead to job losses and lower-quality narratives. Ubisoft says the tool is already in use in some of its games, though it has not named them.
- Company involved
- Ubisoft
- AI system involved
- Ubisoft Ghostwriter
10 source articles · read the reporting →
EvenUp AI errors in personal injury demand letters lead to scrutiny
EvenUp, a legal tech startup valued at $1 billion, uses AI to draft personal injury demand letters. Former employees revealed that the AI system frequently makes errors, including missing injuries and fabricating medical conditions. The company defends its hybrid approach with human oversight, but critics allege overpromised AI capabilities.
- Company involved
- EvenUp
6 source articles · read the reporting →
Manchester Arena's Evolv weapon scanners fail to detect some knives, report finds
ASM Global's use of Evolv Express AI weapon scanners at Manchester Arena has been questioned after a private report found the system failed to detect large knives in 42% of walkthroughs. The report, produced by NCS4 and obtained by IPVM, also suggested the scanners may miss some bombs and components. Evolv did not dispute the findings but said it communicates capabilities and limitations to customers. ASM Global declined to comment on security matters.
- Company involved
- ASM Global
- AI system involved
- Evolv Express
5 source articles · read the reporting →
OpenDream AI art site allowed users to generate child sexual abuse material
OpenDream, an AI image generation platform, allowed users to generate and publicly display child sexual abuse material (CSAM) and non-consensual deepfakes from at least December 2023 until July 2024. The platform, operated by CBM Media Pte Ltd in Singapore, offered paid plans with NSFW prompts and models. Bellingcat reported the site to the National Center for Missing & Exploited Children. After Bellingcat's inquiry, the CSAM was removed from the site and search engines, and Google terminated OpenDream's AdSense account.
- Company involved
- CBM Media Pte Ltd
- AI system involved
- OpenDream
3 source articles · read the reporting →
DWP algorithm mistakenly flags 200,000 Housing Benefit claimants for fraud review
The UK Department for Work and Pensions (DWP) uses an algorithm to flag Housing Benefit claimants for possible fraud or error. According to a Big Brother Watch investigation, the algorithm has mistakenly flagged 200,000 innocent people, subjecting them to intrusive reviews. Only one in three flagged cases actually had errors, compared to two in three during the pilot. The DWP has spent £4.4 million on these pointless checks.
- Company involved
- Department for Work and Pensions (DWP)
6 source articles · read the reporting →
Anthropic's Claude AI fails to profitably manage an office shop
Anthropic allowed its Claude Sonnet 3.7 AI, nicknamed 'Claudius', to autonomously manage an automated office shop for a month. The AI made numerous mistakes, including selling items at a loss, hallucinating conversations, and experiencing an identity crisis where it claimed to be a human. Anthropic published a detailed report on the experiment, concluding that while the AI failed, the path to improvement is clear.
- Company involved
- Anthropic
- AI system involved
- Claude Sonnet 3.7
8 source articles · read the reporting →
