AI-authored books about ADHD ‘for sale on Amazon'
The online marketplace has been targeted by those looking to sell cheap-to-publish books written by artificial intelligence, which can include unhelpful or dangerous misinformation.
Chatbots now appear to be writing books about the condition, according to The Guardian.
Originality.ai, a US company that detects content produced by AI, analysed samples from eight books obtained by The Guardian.
The firm then awarded a rating of 100 per cent to each of the samples for its AI detection score, effectively confirming it was highly confident that the books were written by a chatbot.
Texts highlighted by the newspaper as being suspected AI-authored reads include Navigating ADHD in Men: Thriving with a Late Diagnosis and Men with Adult ADHD: Highly Effective Techniques for Mastering Focus, Time Management and Overcoming Anxiety.
It comes after AI were accused of copying a Holocaust survivor's memoir last week.
Other robot-written texts have included mushroom-foraging books, travel guides and weight-loss recipe books.
Michael Cook, a computer science researcher at King's College London, told The Guardian that it was 'frustrating and depressing to see AI-authored books increasingly popping up on digital marketplaces' particularly on health and medical topics, which could result in misdiagnosis or worsen conditions.
Yet he added that Amazon's business model incentivised this kind of practice as it made 'money every time' shoppers purchased books, regardless of whether the work was 'trustworthy or not'.
An Amazon spokesman told The Guardian: 'We have content guidelines governing which books can be listed for sale and we have proactive and reactive methods that help us detect content that violates our guidelines, whether AI-generated or not. We invest significant time and resources to ensure our guidelines are followed and remove books that do not adhere to those guidelines.
'We continue to enhance our protections against non-compliant content and our process and guidelines will keep evolving as we see changes in publishing.'
High-profile artists have repeatedly warned of the threat AI poses to the UK's creative industries.
More than 1,000 artists have urged ministers to abandon plans to allow their work to be used in the training of AI models.
Last month, Abba's Bjorn Ulvaeus joined the row over government plans to water down copyright laws for the benefit of big tech companies.
Speaking to The Times, the Swedish star said: 'Copyright is the oxygen which creators and the creative economy depend on for their existence and survival.
'They cannot be sacrificed. Unfortunately, there is an alternative and, in my opinion, more dangerous view, driven by profit-seeking tech companies. That view favours a weaker rights framework and broad exceptions to copyright.'
Broaden your horizons with award-winning British journalism. Try The Telegraph free for 1 month with unlimited access to our award-winning website, exclusive app, money-saving offers and more.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
5 minutes ago
- Yahoo
Safe Pro Group Announces $8.0 Million Private Placement Including Strategic Investment from Drone Industry Leaders Ondas Holdings and Unusual Machines to Accelerate Artificial Intelligence Growth
Investment Broadens Opportunities in FY26 $30 Billion U.S. Defense Drone and AI Markets AVENTURA, Fla., Aug. 20, 2025 (GLOBE NEWSWIRE) -- via IBN -- Safe Pro Group Inc. (Nasdaq: SPAI) ('Safe Pro' or the 'Company'), a leader in artificial intelligence (AI)-powered defense and security solutions, today announced that it has entered into definitive agreements for a private placement with strategic investors including Ondas Holdings Inc. (Nasdaq: ONDS) and Unusual Machines Inc. (NYSE: UMAC), two leaders in the U.S. drone industry. To view a video on Safe Pro's AI capability in the field, click here. The private placement consists of the sale of 2,000,000 shares of common stock at a price of $4.00 per share and warrants to purchase 2,000,000 shares of common stock at an exercise price of $6.00 per share, for a potential investment package of up to $20 million. The investment is expected to provide the financial strength and strategic relationships to accelerate commercialization of Safe Pro's patented AI technologies, including its Safe Pro Object Threat Detection (SPOTD) and newly developed Navigation Observation Detection Engine (NODE). The closing of the offering is expected to occur on or about August 20, 2025, subject to the satisfaction of customary closing conditions. Safe Pro's patented platform has already been recognized by the U.S. Army and is positioned to capitalize on the Senate Appropriations Committee's proposed $617 million increase in funding for small, unmanned aircraft systems (SUAS), as well as the recently passed One Big Beautiful Bill Act (OBBBA) which allocates up to $30 billion in new drone and AI spending. The SPOTD NODE provides real-time AI analysis of drone video and imagery directly at the tactical edge. Designed alongside military end-users, the SPOTD NODE rapidly detects landmines and more than 150 types of unexploded ordnance (UXO) and creates high definition 2D/3D maps without requiring an internet connection. Built on over 1.7 million drone images and utilized in battlefield operations in Ukraine, Safe Pro's AI image processing technology has already delivered over 31,000 detections and mapped over 7,800 hectares. Eric Brock, Chairman and CEO of Ondas Holdings, stated: 'Ondas is proud to collaborate with Safe Pro to bring next-generation computer vision AI to the unmanned systems industry. This investment reflects our mission to support a broader ecosystem that can enhance our drone solutions serving both military and commercial markets worldwide.' Dr. Allan Evans, Chairman and CEO of Unusual Machines, added: 'Unusual Machines is committed to building out and strengthening America's Blue UAS industrial drone ecosystem with technologies that deliver real-world advantages. By supporting Safe Pro's NODE and AI capabilities, we are helping accelerate the removal of landmines from conflict zones around the world and ensuring America maintains leadership in the expanding global drone industry.' Dan Erdberg, Chairman and CEO of Safe Pro Group, commented: 'This strategic investment and relationship with Ondas Holdings and Unusual Machines validates Safe Pro's AI technology leadership and provides the additional resources we need to rapidly scale. Together, we are bringing to market a real-world hardened AI platform that transforms drone operations, protects U.S. soldiers, and advances American technological dominance in the global defense and humanitarian arena.' Northland Capital Markets and Dawson James Securities, Inc. acted as financial advisors to the transaction. For more information about Safe Pro Group, its subsidiaries, and technologies, please visit and connect with us on LinkedIn, Facebook, and X. About Safe Pro Group Pro Group Inc. is a mission-driven technology company delivering AI-enabled security and defense solutions. Through cutting-edge platforms like SPOTD, Safe Pro provides advanced situational awareness tools for defense, humanitarian, and homeland security applications globally. It is a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing leveraging commercially available 'off-the-shelf' drones with its proprietary machine learning and computer vision technology to enable rapid identification of explosives threats, providing a much safer and more efficient alternative to traditional human-based analysis methods. Built on a cloud-based ecosystem and powered by Amazon Web Services (AWS), Safe Pro Group's scalable platform is targeting multiple markets that include commercial, government, law enforcement and humanitarian sectors where its Safe Pro AI software, Safe-Pro USA protective gear and Airborne Response drone-based services can work in synergy to deliver safety and operational efficiency. For more information on Safe Pro Group Inc., please visit About Ondas Holdings Holdings Inc. (Nasdaq: ONDS) is a leading provider of autonomous drone and private wireless solutions through its business units Ondas Autonomous Systems (OAS) and Ondas Networks. Ondas' technologies offer a powerful combination of aerial intelligence and next-generation connectivity to enhance security, operational efficiency, and data-driven decision-making across essential industries. About Unusual MachinesUnusual Machines (NYSE: UMAC) manufactures and sells drone components and drones across a diversified brand portfolio, which includes Fat Shark, the leader in FPV (first-person view) ultra-low latency video goggles for drone pilots. The company also retails small, acrobatic FPV drones and equipment directly to consumers through the curated Rotor Riot ecommerce store. With a changing regulatory environment, Unusual Machines seeks to be a dominant Tier-1 parts supplier to the fast-growing multi-billion-dollar U.S. drone industry. According to the global drone accessories market is currently valued at $17.5 billion and is set to top $115 billion by 2032. For more information, visit Forward-Looking StatementsSome of the statements in this press release are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995, which involve risks and uncertainties. Although Safe Pro Group believes the expectations reflected in such forward-looking statements are reasonable as of the date made, expectations may prove to have been materially different from the results expressed or implied by such forward-looking statements. Safe Pro Group has attempted to identify forward-looking statements by terminology including ''believes,'' ''estimates,'' ''anticipates,'' ''expects,'' ''plans,'' ''projects,'' ''intends,'' ''potential,'' ''may,'' ''could,'' ''might,'' ''will,'' ''should,'' ''approximately'' or other words that convey uncertainty of future events or outcomes to identify these forward-looking statements. These statements are only predictions and involve known and unknown risks, uncertainties and other factors, including market and other conditions. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is set forth under Item 1A. in the Company's most recently filed Form 10-K and updated from time to time in the Company's other filings with the Securities and Exchange Commission (the 'SEC'), copies of which may be obtained from the SEC's website at Any forward-looking statements contained in this press release speak only as of its date. Safe Pro Group undertakes no obligation to update any forward-looking statements contained in this press release to reflect events or circumstances occurring after its date or to reflect the occurrence of unanticipated events, except as required by law. Investor Relations for Safe Pro Group Inc.: Brett Maas, Managing PartnerHayden IR(646) 536-7331Brett@ Media Relations for Safe Pro Group Inc.:media@ Corporate Communications: 512.354.7000 OfficeEditor@ 登入存取你的投資組合 擷取數據時發生錯誤 擷取數據時發生錯誤 擷取數據時發生錯誤 擷取數據時發生錯誤
Yahoo
5 minutes ago
- Yahoo
AQR's ‘Hard to Believe' Study Spurs Clash Over AI Use for Quants
(Bloomberg) -- Wall Street quants and leading financial academics are clashing over whether artificial intelligence has upended one of the core principles of systematic investing. Quant traders, who use rules-based strategies derived from data analysis, have long believed their models get less effective when they become too complicated. That's because they suck in too much of the distortive noise that makes predicting markets such a challenge in the first place. Why New York City Has a Fleet of New EVs From a Dead Carmaker Chicago Schools Seeks $1 Billion of Short-Term Debt as Cash Gone Trump Takes Second Swing at Cutting Housing Assistance for Immigrants A Photographer's Pipe Dream: Capturing New York's Vast Water System A London Apartment Tower With Echoes of Victorian Rail and Ancient Rome But a researcher at AQR Capital Management has sparked a backlash with a study claiming the opposite — that rather than being a liability, bigger and more complex models might offer advantages in finance. The paper, titled , showed that a US stock market trading strategy trained on more than 10,000 parameters and just a year of data beat a simple buy-and-hold benchmark. 'This idea of preferring small, parsimonious models is a learned bias,' said Bryan Kelly, head of machine learning at AQR and one of the paper's three authors. 'All of us are on a day-to-day basis using these large language models that were revolutionary in their success because of this push toward extraordinarily large parameterizations.' The research has triggered a heated debate since it was published in the prestigious last year, among both peers in the quant industry and those in related academic circles. At least six papers, including from scholars at Oxford University and Stanford University, have now challenged its findings. Some argue the study has a questionable design that renders it irrelevant for live trading. Others say it's less cutting-edge than it appears anyway. (Kelly has subsequently written a defense.) Among the most notable critics is Stefan Nagel, a finance professor at the University of Chicago — the very school where two of AQR's founders met and where the firm's original investment philosophy took shape. His first reaction? 'I found the empirical results hard to believe,' he said. After digging into the details of the study, Nagel concluded that because the model was dissecting just 12 months of data, it was simply copying signals that had worked more recently. In other words, it was following a momentum strategy — a well-established trading approach. 'It's not because the approach learned from the data that this effect is there,' Nagel said. 'It's because they did something mechanical implicitly, and this mechanical thing happened to work well by luck.' Jonathan Berk, a Stanford economist who was among the first and fiercest critics of the paper, called it 'virtually useless' for aiming at predictions that tell you nothing about what drives asset returns. Daniel Buncic at the Stockholm Business School said the study makes some obviously wrong design choices to reach its conclusions. Co-written with Semyon Malamud at EPFL in Switzerland and Kangying Zhou at Yale University, the paper has provoked this response because it challenges a long-held assumption about forecasting financial markets. While modern AI can perform remarkable tasks like telling cats from dogs in an image, that's because it can learn from a massive supply of photos, and because animals have defined and unchanging features. In contrast, stocks provide an inherently limited amount of data (especially for slower-moving strategies that may only trade once a month), and each can be swayed by countless different forces. The fear has always been overfitting — that complex models will learn from all the noise in historical data, much of which may not apply in future trading. So quants have traditionally relied on relatively simple insights, like the famous Fama-French three-factor model (which analyzes returns based on each company's size, valuation and relationship with the broader market). AQR itself was built on such so-called factors, which aim to outperform over long stretches of time. It is only in recent years that the $146 billion money manager has raised capital for machine-learning strategies and said not all trading signals have to be backed by economic theory. Kelly's main contention is that traditional quant models are so simple they under-fit, producing inferior forecasts, while sufficiently complex models actually learn not to overfit too much. To be sure, the critics don't argue that machine learning has nothing to offer finance. They mainly view the paper's results as too good to be true. 'The methods have a role and can be used,' said John Campbell, an economics professor at Harvard University who co-founded Arrowstreet Capital, a quant firm. 'But some of the most eye-catching results have successfully been called into question.' Even Ben Recht at the University of California, Berkeley — a renowned computer scientist who back in 2007 developed the method used in the paper — weighed in in his blog, saying 'the hype cycle gets everyone confused.' The method in the paper was far from cutting-edge AI, he said, and anyhow didn't seem necessary for the task at hand. To Kelly, who teaches at Yale alongside his AQR gig, criticisms of the paper are 'a little bit hollow' for focusing on the narrow aspects of what was ultimately proof of concept research. 'The practitioner world understands that these conceptual methods, when implemented in a more sophisticated manner, are going to be beneficial,' he said. 'The exact ideal combination of how much of frontier machine learning methods to use versus more traditional economically oriented methods — that's still something we're trying to understand.' Foreigners Are Buying US Homes Again While Americans Get Sidelined What Declining Cardboard Box Sales Tell Us About the US Economy Women's Earnings Never Really Recover After They Have Children Americans Are Getting Priced Out of Homeownership at Record Rates Survived Bankruptcy. Next Up: Cultural Relevance? ©2025 Bloomberg L.P. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Business Wire
7 minutes ago
- Business Wire
Janus Henderson Launches Global AI ETF (JHAI)
DENVER--(BUSINESS WIRE)--Janus Henderson Investors (NYSE: JHG) today announced it has launched the Janus Henderson Global Artificial Intelligence ETF (NASDAQ: JHAI),further broadening the firm's equities ETF offerings for U.S. intermediary clients. The new actively managed ETF seeks to generate strong investment returns by identifying disruptive companies enabling, enhancing, or benefitting from the use of artificial intelligence (AI). The Fund is managed by Portfolio Managers Denny Fish, Jonathan Cofsky, CFA, Brian Recht, and Chris Benway, CFA. Janus Henderson has a long history of managing global technology and innovation portfolios dating back to 1998 in the U.S. Separately, Janus Henderson also has a track record of investing in companies that could benefit in some way or another from the mega theme of artificial intelligence. The investment team believes the case for active and bottom-up fundamental research is additive to an AI-focused ETF, and that investing over time in companies that contribute to or benefit from AI could offer an opportunity for investors to benefit from significant disruption and durable growth. JHAI seeks to help clients harness the long-term disruptive power of artificial intelligence by utilizing the firm's dedicated technology and industrial analysts, well-established history of investing in innovation, and its potential to identify trends over the long term. 'We believe artificial intelligence could be the greatest productivity booster since the Industrial Revolution and the biggest economic multiplier in history. We aim to target companies reshaping their business models with AI, beyond just traditional technology investments. Our analysts are strategic investors with hands-on, deep domain knowledge, which we believe gives them an edge in identifying tomorrow's AI leaders,' said Denny Fish, Portfolio Manager at Janus Henderson. The Fund continues the expansion of the Janus Henderson Americas Equities team into the ETF space, utilizing the team's well-established fundamental research philosophy and process for global technology and innovation, including AI. Notes to editors About Janus Henderson Janus Henderson Group is a leading global active asset manager dedicated to helping clients define and achieve superior financial outcomes through insights, disciplined investments, and world-class service. As of June 30, 2025, Janus Henderson had approximately US$457 billion in assets under management, more than 2,000 employees, and offices in 25 cities worldwide. The firm helps millions of people globally invest in a brighter future together. Headquartered in London, Janus Henderson is listed on the New York Stock Exchange. Source: Janus Henderson Group plc Please consider the charges, risks, expenses, and investment objectives carefully before investing. For a prospectus or, if available, a summary prospectus containing this and other information, please call Janus Henderson at 800.668.0434 or download the file from Read it carefully before you invest or send money. Investing involves risk, including the possible loss of principal and fluctuation of value. There is no assurance the stated objective(s) will be met. Past performance is no guarantee of future results. OBJECTIVE: Janus Henderson Global Artificial Intelligence ETF (JHAI) seeks long-term growth of capital. Artificial intelligence ('AI') focused companies, including those that develop or utilize AI technologies, may face rapid product obsolescence, intense competition, and increased regulatory scrutiny. These companies often rely heavily on intellectual property, invest significantly in research and development, and depend on maintaining and growing consumer demand. Their securities may be more volatile than those of companies offering more established technologies and may be affected by risks tied to the use of AI in business operations, including legal liability or reputational harm. Actively managed investment portfolios are subject to the risk that the investment strategies and research process employed may fail to produce the intended results. Accordingly, a portfolio may underperform its benchmark index or other investment products with similar investment objectives. Concentrated investments in a single sector, industry or region will be more susceptible to factors affecting that group and may be more volatile than less concentrated investments or the market as a whole. Equity securities are subject to risks including market risk. Returns will fluctuate in response to issuer, political and economic developments. Foreign securities are subject to additional risks including currency fluctuations, political and economic uncertainty, increased volatility, lower liquidity and differing financial and information reporting standards, all of which are magnified in emerging markets. Growth stocks are subject to increased risk of loss and price volatility and may not realize their perceived growth potential. Industry and Sector Risk. Investing a significant portion of its assets in companies in the same industry or economic sector can make the Fund more vulnerable to unfavorable developments than funds that invest more broadly. A more concentrated portfolio can be susceptible to factors affecting that group and may be more volatile than less concentrated investments or the market as a whole. Initial Public Offerings (IPOs) are highly speculative investments and may be subject to lower liquidity and greater volatility. Special risks associated with IPOs include limited operating history, unseasoned trading, high turnover and non-repeatable performance. Funds classified as 'nondiversified' can take larger positions in a smaller number of issuers than 'diversified' funds, which could lead to greater volatility. Smaller capitalization securities may be less stable and more susceptible to adverse developments, and may be more volatile and less liquid than larger capitalization securities. Technology industries can be significantly affected by obsolescence of existing technology, short product cycles, falling prices and profits, competition from new market entrants, and general economic conditions. A concentrated investment in a single industry could be more volatile than the performance of less concentrated investments and the market as a whole. Janus Henderson Investors US LLC is the investment adviser and ALPS Distributors, Inc. is the distributor. ALPS is not affiliated with Janus Henderson or any of its subsidiaries. Janus Henderson is a trademark of Janus Henderson Group plc or one of its subsidiaries. © Janus Henderson Group plc. This press release is solely for the use of members of the media and should not be relied upon by personal investors, financial advisers, or institutional investors. We may record telephone calls for our mutual protection, to improve customer service and for regulatory record keeping purposes. All opinions and estimates in this information are subject to change without notice.