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Only 7% of authors have given permission for AI to be trained on their works

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The survey, of 13,574 members of ALCS highlighted the lack of transparency that surrounds generative AI models.

LONDON, Dec. 4, 2024 /PRNewswire/ — The Authors’ Licensing and Collecting Society (ALCS) has found in a recent survey of its members that only 7% of authors who know that their work has been used to train AI had given permission. Furthermore, over three-quarters (77%) of authors do not know if their work has been used to train AI models.

The survey, conducted between June and August of this year, was completed by 13,574 members of ALCS and highlighted the lack of transparency that surrounds generative AI models, such as ChatGPT.

The survey revealed that authors are aligned with the key themes of choice, recognition, transparency, and remuneration developed by the ALCS in 2023 and make clear the need for  licensing options that fairly compensate writers for the use of their work in training AI models.

Choice

The report highlights that authors are not completely opposed to their works being used to train AI models – but only if they received fair compensation, were appropriately credited, and their permission was asked.

Findings include:

91% of writers feel that they should be asked for permission to use their works.96% of writers would want remuneration from AI if their works have been used.87% want to be credited when their works are used by AI.92% of respondents said that they would want to receive compensation for any historic use of their work by AI.

Transparency

The lack of clarity around AI systems is a further issue for authors. Alongside the report finding that 77% of authors do not know if their work has been used to train AI models, it further found that:

71% of the writers surveyed were concerned about their works being used to train AI.71% of writers or their representatives were concerned about AI platforms ‘copying or mimicking’ the style of their writing.

Collective Licensing

Respondents were supportive of finding a licensing agreement that would enable them to benefit from the use of their works to train AI systems:

81% said that they would be happy to support a licence if ALCS was able to secure one.72% of members would expect to have the ability to opt-out of any licensing schemes that are put in place.

ALCS CEO Barbara Hayes says of the report: “The findings of our survey confirm much of what we already believed about writers’ attitudes to the lack of remuneration and choice. But what also became clear is that writers are often in the dark about what is happening to their works, and subsequently they don’t know how to feel about it. They have a lot of questions: How do we find out what has been used? How will any remuneration work? How will AI affect the careers of authors?

“It is our belief that licensing offers the best solution for ensuring authors are recognised and fairly compensated for the use of their work in AI systems, if that is what they choose to do.”

ALCS Chair, author, and tech philosopher Tom Chatfield adds: “Behind these statistics lies a fundamental imbalance in how creative work is valued and respected in an algorithmic age. While tech companies rush to train ever-larger systems on vast libraries of human-made content, its creators are neither consulted nor compensated. 

“Yet what’s striking about the ALCS survey isn’t just writers’ concerns – it’s their readiness to engage with solutions. Some 81% of respondents would participate in a licensing framework for future uses of their work. Writers aren’t against technological progress. They’re opposed to exploitation, alongside the confusions and category errors that a lack of transparency breeds.”

Find a full copy of the report: www.alcs.co.uk/AI

ABOUT ALCS

ALCS is a not-for-profit organisation started by writers for the benefit of all types of writers. Owned by its members, ALCS collects money due for secondary uses of writers’ work. It is designed to support authors and their creativity; ensure they receive fair payment and see their rights are respected. It promotes and teaches the principles of copyright and campaigns for a fair deal. It represents over 125,000 members, and since 1977 has paid over £700million to writers.

Logo – https://mma.prnewswire.com/media/2331012/5060605/ALCS_Primary_Logo.jpg

 

View original content:https://www.prnewswire.co.uk/news-releases/only-7-of-authors-have-given-permission-for-ai-to-be-trained-on-their-works-302322389.html

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Taiwan’s Smart Tolling Technology Goes Global as Thailand Launches AI-Powered M81 Motorway System

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TAIPEI, April 22, 2026 /PRNewswire/ — Sightings of electronic toll collection (ETC) gantries resembling those used on Taiwan’s freeways have recently drawn attention on social media along the Bangkok–Kanchanaburi highway. Far Eastern Electronic Toll Collection Co., Ltd. (FETC) confirmed that the system is part of Thailand’s newly launched M-Flow multi-lane free-flow tolling system on the Intercity Motorway No. 81 Bang Yai – Kanchanaburi Route (M81).

Developed in collaboration with FETC International (Thailand) Co., Ltd. (FETCi Thailand) and the BGSR81 Co., Ltd, the system has officially entered operation, marking a significant milestone in Thailand’s transition toward smart, digitally enabled highway infrastructure.

The launch also strengthens connectivity between Bangkok and Kanchanaburi, effectively creating a “one-day travel corridor” and supporting regional tourism and economic activity.

AI-Driven Tolling Cuts Travel Time to 48 Minutes

According to Kenny Chen, Managing Director of FETCi Thailand, the M81 project demonstrates the flexibility and scalability of Taiwan’s ETC technology in complex international environments.

FETCi Thailand led the design, installation, and implementation of the tolling system and its Traffic Operations Center (TOC). The platform integrates artificial intelligence (AI) and Internet of Things (IoT) technologies to enable data-driven traffic management and operational decision-making. It is also designed for future expansion, including applications such as weigh-in-motion enforcement.

Thailand’s diverse vehicle types and more complex license plate formats presented technical challenges. These were addressed through advanced AI-powered automatic license plate recognition (ALPR), ensuring high accuracy in vehicle identification. Combined with multiple digital payment options, the system allows vehicles to pass through toll points without stopping.

Since its launch, travel time between Bangkok and Kanchanaburi has been reduced from nearly two hours to approximately 48 minutes. Weekend traffic volumes have reached around 55,000 vehicles per day, improving both tourism access and logistics efficiency in western Thailand.

M9 Experience Highlights Strong Economic and Environmental Benefits

FETC has also supported Thailand’s Department of Highways (DOH) since 2022 in deploying and operating the M-Flow system on the M9 motorway, including gantry design and operational consulting.

According to DOH data, the system has increased traffic throughput fivefold and saves motorists an estimated 3.33 million hours annually. It has achieved a benefit-cost ratio of 6.94, meaning each dollar invested generates nearly seven dollars in overall societal value.

In environmental terms, the system reduces fuel consumption by approximately 13.91 million liters per year and cuts carbon emissions by more than 36,000 metric tons, contributing to more sustainable transportation.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/taiwans-smart-tolling-technology-goes-global-as-thailand-launches-ai-powered-m81-motorway-system-302748486.html

SOURCE FETC International

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Critical Link Launches World’s First AI-Driven SOM Recommendation Engine, Powered by Rapidflare

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Critical Link and Rapidflare have jointly launched the world’s first AI-driven System on Module Recommendation Engine. Engineers can now describe their requirements in plain language and receive accurate, tailored SOM recommendations in seconds. Together, the two companies are redefining how electronics teams discover and select embedded solutions.

SAN JOSE, Calif., April 21, 2026 /PRNewswire-PRWeb/ — Critical Link LLC, a leader in system-on-module solutions, has introduced the world’s first AI-driven System on Module Recommendation Engine, powered by Rapidflare’s Rapid Product Selection Agent. The new engine advances Critical Link’s mission to help customers bring embedded products to market faster and more cost-effectively.

Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs. – Amber Thousand, Sr. Director of Marketing, Critical Link

In the electronics industry, selecting the right product often requires manually comparing hundreds of pages of datasheets or relying on rigid parametric search tools. Critical Link’s SOM Recommendation Engine is set to change that. With Rapidflare’s conversational AI agent, customers can describe their requirements in natural language and receive tailored recommendations in a fraction of the time.

“For years customers have asked for a better way to find the right SOM for their application. Launching this AI-driven engine with Rapidflare’s technology is a game changer,” said Amber Thousand, Sr. Director of Marketing at Critical Link. “Their accuracy, domain expertise, and speed of integration made them the clear choice to support our mission.”

Unlike generic AI agents, Rapidflare’s technology is purpose-built for complex product selection workflows. It combines knowledge graph-based reasoning, domain-specific intelligence, and industry guardrails to deliver recommendations that are both fast and reliable for electronics teams.

“The best partnerships happen when your mission aligns with your partner’s mission,” said Navanee Sundaramoorthy, CEO and Founder at Rapidflare. “We’re proud to partner with Critical Link to help make SOM product selection more seamless, intuitive, and efficient for their team and customers.”

Beyond accelerating product selection, the AI engine gives engineers a new way to engage with Critical Link. “We’ve always offered thorough documentation and product support to customers via our website, our engineering wiki, and personal contact. Adding the SOM Recommendation Engine creates a more efficient path for self-discovery, which we see as a growing trend,” said Thousand. “Together, Rapidflare and Critical Link are combining their strengths to make the journey from concept to product faster, smarter, and more closely aligned with customer needs.”

To explore Critical Link’s SOM Recommendation Engine, visit https://www.criticallink.com/som-recommendation-ai-agent/.

To learn more about Rapidflare and its AI-powered product selection solutions, visit Rapidflare’s website: https://www.rapidflare.ai/

About Rapidflare

Rapidflare builds AI-powered domain specific agents for electronics, semiconductors, and other technically complex industries. Its product intelligence powered AI platform gives teams natural-language access to product and engineering knowledge, making it easier to find accurate answers, support customers, and move faster across critical workflows. Rapidflare multiplies the impact of GTM teams by making critical technical knowledge instantly accessible, helping sales, solutions engineering, product marketing, support, and customer success teams move faster and operate with confidence. For more information, visit rapidflare.ai

About Critical Link

Critical Link designs and manufactures CPU-based, FPGA-based, and DSP-based system-on-modules (SOMs) for industrial electronic applications. Its production-ready embedded solutions help customers bring products to market faster and at lower cost by reducing development complexity, risk, and time spent building core processing subsystems from scratch. With a focus on product quality, long-term availability, lifecycle support, and close customer engagement, Critical Link serves OEMs across a wide range of industrial and technically demanding applications. For more information, visit the website: criticallink.com

Media Contact

Balpreet, Rapidflare, 1 2068614231, balpreet@rapidflare.ai, rapidflare.ai

View original content to download multimedia:https://www.prweb.com/releases/critical-link-launches-worlds-first-ai-driven-som-recommendation-engine-powered-by-rapidflare-302749279.html

SOURCE Rapidflare

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COMAU SHOWCASES AUTOMATION SOLUTIONS FOR SOUTHEAST ASIA’S COMMERCIAL VEHICLE INDUSTRY AT GIICOMVEC 2026

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SHANGHAI, April 22, 2026 /PRNewswire/ — Comau participated in the Indonesia International Commercial Vehicle Expo (GIICOMVEC 2026), held in Jakarta, where it engaged with local OEMs and supply chain partners on manufacturing upgrades and the application of automation technologies. During the event, Comau presented its capabilities in body-in-white automation, flexible production systems for multi-model manufacturing, and digital manufacturing solutions, drawing on its experience in managing complex automotive production environments.

Through its participation at GIICOMVEC 2026, Comau further expanded its engagement with the Southeast Asian market. Leveraging its global project experience and strong presence in China, Comau supports complex, high-volume automotive production for both domestic and international OEMs, and combines this experience with local insights to address evolving regional manufacturing requirements.

GIICOMVEC 2026 featured 14 leading commercial vehicle brands from multiple regions, showcasing developments in light commercial vehicles, heavy-duty trucks, buses, and specialty vehicles. As demand continues to grow and industrial modernization accelerates, Indonesia is becoming an increasingly important production base and end market for commercial vehicles in Southeast Asia. At the same time, the expanding presence of Chinese automakers is contributing to a more competitive landscape and a shifting supplier ecosystem.

In this context, manufacturers are managing broader product portfolios and short production cycles. As a result, greater emphasis is being placed on automation solutions that enable efficient multi-model production, improve consistency in body-in-white manufacturing, and support the adoption of digital production management systems.

At the policy level, initiatives such as Making Indonesia 4.0 and the national push toward vehicle electrification are reinforcing the transition toward efficient and sustainable manufacturing. Comau’s proven track record in e-Mobility and battery assembly solutions further aligns with these developments, creating new opportunities to add value across the entire commercial vehicle value chain in Southeast Asia.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/comau-showcases-automation-solutions-for-southeast-asias-commercial-vehicle-industry-at-giicomvec-2026-302748494.html

SOURCE Comau

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