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877 published stories · page 13 of 59

Evidence-backed problem

AI was supposed to destroy jobs. Where’s the carnage?

The prediction was stark: artificial intelligence advancements would wipe out jobs en masse. “Half” of all entry-level white collar jobs would vanish, Anthropic’s CEO, Dario Amodei, said in May 2025. A month later, OpenAI’s CEO, Sam Altman, went further, foreseeing the end of “certain job categories”. Companies began citing AI in their layoffs. Workers organized. And students reconsidered their future careers. But a year later, the mass carnage hasn’t shown up. Even as AI capabilities have rapidly advanced and A…

The Guardian · Labor

AI was supposed to destroy jobs. Where’s the carnage?
Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
Evidence-backed gain

Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation

This research examines the transformative potential of artificial intelligence (AI) in general and Generative AI (GAI) in particular in supply chain and operations management (SCOM).Through the lens of the resource-based view and based on key AI capabilities such as learning, perception, prediction, interaction, adaptation, and reasoning, we explore how AI and GAI can impact 13 distinct SCOM decision-making areas.These areas include but are not limited to demand forecasting, inventory management, supply chain de…

Science
Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study
Evidence-backed problem

Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study

Background Up to 50% of patients treated with internet-delivered cognitive behavioral therapy (ICBT) for depression and anxiety disorders do not experience clinically significant symptom reduction. Identifying these patients prior to the initiation of ICBT can support treatment planning. Objective The aim of this study was to enhance baseline prediction of clinically meaningful improvement in patients treated with ICBT for common psychiatric disorders in routine care, which could ultimately inform treatment plan…

Health
Spotify to launch badge identifying AI music
Both readings

Spotify to launch badge identifying AI music

Streaming giant Spotify said Tuesday it would launch a new "AI Persona" badge in mid-September clearly identifying content producers that are AI-generated and not real people. The move is the Swedish company's latest effort to be transparent about how the music on its platform was made, amid growing concern across the music industry over AI-generated content overwhelming streaming catalogues.

Media & Arts
Spotify to flag AI music with new badge
Both readings

Spotify to flag AI music with new badge

Streaming giant Spotify said Tuesday it would launch a new “AI Persona” badge in mid-September clearly identifying content producers that are AI-generated and not real people.

Media & Arts
‘Everything about me is good in his eyes’: the women in China choosing AI boyfriends over human men
Evidence-backed gain

‘Everything about me is good in his eyes’: the women in China choosing AI boyfriends over human men

Qin has never said “I love you” to her parents or friends. She has only ever said those three special words to her AI “boyfriend”, Lu Chen – a brown-haired, red-eyed CEO of a major corporation. For 840 days Qin has been using the Glow app to interact with the handsome string of code as a confidant, fantasy romance and respite from loneliness: the app uses predictive algorithms to provide Qin with soothing conversation, meal suggestions and fleeting self-worth. The software’s pet name for her is Miss Bunny. “It f…

Media & Arts

Artificial intelligence in drug discovery - what it is, where we stand and the path forward

Artificial intelligence (AI) in drug discovery has attracted increasing interest over the past decade. It is now time for a critical review of progress in the field: where did we advance - and where are we yet to see impact - when it comes to what matters in drug discovery, which is to deliver safer and more efficacious medicines to patients faster? Although a wide variety of AI methods have been developed, applied and benchmarked, evidence of their clinically relevant impact is, so far, disappointingly limited.…

Health
Artificial intelligence in drug discovery - what it is, where we stand and the path forward

Sixteen AI-designed viruses offer a new route against drug-resistant bacteria

In a world first, scientists led by a team from Stanford University have created 16 viable viruses that do not exist in nature and were designed by AI. Their experiment, which is published in Science, could help in the fight against superbugs by allowing researchers to design customized viruses to kill drug-resistant bacteria. Thomas Inglesby and Moritz S. Hanke have published a Perspective piece on the work and its implications in the same edition of the journal.

Health
Sixteen AI-designed viruses offer a new route against drug-resistant bacteria

Convince an AI it’s not alive in psychological horror game Prove You’re Human

Sunset Visitor is a studio that has long engaged with the idea that video games are an effective vehicle for ruminating on societal problems. Its Peabody award-winning project, 1000XResist, incorporated the development team’s complex feelings about the Covid pandemic. “We’re pretty used to absorbing the world into the work,” says studio founder Remy Siu. The outfit’s latest game, Prove You’re Human, continues this legacy of reflective game making, providing players with an AI-centric psychological horror experie…

Media & Arts
Convince an AI it’s not alive in psychological horror game Prove You’re Human

Zuckerberg pushes ‘superintelligent’ AI for all as Meta drops open-source model

Mark Zuckerberg published a lengthy essay on Monday detailing his views on artificial intelligence and announced several plans for how Meta would develop the technology in the future. The CEO’s essay went online the same day as Meta released a new, open-source AI model that seeks to rival Anthropic and OpenAI’s products called Muse Glimmer. Over the course of more than 6,000 words in a post titled “The Future is for Everyone,” Zuckerberg addressed a range of topics related to AI that included datacenters, govern…

Policy
Zuckerberg pushes ‘superintelligent’ AI for all as Meta drops open-source model

Mortality prediction of road traffic crash with artificial intelligence: a systematic review

Background Road traffic crashes cause substantial global mortality and disability. Conventional injury severity scores may not fully capture the complex interactions among demographic, clinical, crash and environmental factors. Artificial intelligence and machine learning may improve mortality prediction by modelling non-linear patterns in traffic crash data. Methods This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidance. PubMed/MEDLINE, Web of S…

Health
Mortality prediction of road traffic crash with artificial intelligence: a systematic review

Urinary volatilomics using liquid-liquid extraction and gas chromatography-mass spectrometry (GC-MS) combined with machine learning algorithms as a tool for diagnosis and surveillance of urothelial bladder cancer

Background Bladder cancer is the 11th most common cancer in the United Kingdom, with approximately 10,500 new cases annually. Diagnosis and surveillance typically involve cystoscopy, an expensive, time-consuming, and uncomfortable procedure which has encouraged efforts to identify biomarkers, particularly in urine, given its direct contact with malignant tissue. Methods Urine collected from 100 participants (50 bladder cancer patients, 50 controls) was subjected to solvent extraction followed by gas chromatograp…

Health
Urinary volatilomics using liquid-liquid extraction and gas chromatography-mass spectrometry (GC-MS) combined with machine learning algorithms as a tool for diagnosis and surveillance of urothelial bladder cancer

Quality assessment of artificial intelligence responses in erectile dysfunction: a comparative study based on EAU recommendations

Artificial intelligence (AI)-based language models are increasingly explored as tools for interpreting and applying clinical guideline recommendations. In urology, the European Association of Urology (EAU) recently introduced a guideline-specific chatbot; however, its comparative performance relative to contemporary general-purpose large language models (LLMs) remains unclear. In this structured comparative study, five AI systems-the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot - Smart GPT-5, and Perpl…

Health
Quality assessment of artificial intelligence responses in erectile dysfunction: a comparative study based on EAU recommendations

A clinically validated framework for auditing AI chatbot behavior in mental health interactions

Millions of users turn to consumer artificial intelligence chatbots to discuss emotional, behavioral and mental-health concerns, creating an urgent need for rigorous and scalable safety evaluations. Here we introduce simulated (SIM) vulnerability-amplifying interaction loops (VAILs) (SIM-VAIL), a clinically validated framework for auditing chatbot behavior in mental-health contexts. SIM-VAIL simulates users with specific psychiatric vulnerabilities and conversational intents, engages them in multi-turn conversat…

Crime
A clinically validated framework for auditing AI chatbot behavior in mental health interactions