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Creative Industry Groups Raise Alarm as EU’s AI Act Comes into Force

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As parts of the European Union’s Artificial Intelligence Act (AI Act) begin to take effect this weekend, groups representing creators across Europe are warning that the legislation still leaves major gaps when it comes to protecting copyrighted works from being exploited by generative AI technologies.

Lauded as the world’s first comprehensive law to regulate artificial intelligence, the AI Act establishes strict rules for high-risk AI systems and imposes transparency requirements on developers of general-purpose AI models. However, artists and authors say the law fails to ensure consent, transparency, or compensation for creators whose work is used to train AI models.

“The work of our members should not be used without transparency, consent, and remuneration,” said Marc du Moulin, Secretary General of the European Composer and Songwriter Alliance (ECSA). “We see that the implementation of the AI Act does not give us that.”

The AI Act categorizes AI systems by risk level—minimal, limited, high, or unacceptable—with the highest-risk applications facing heavy scrutiny or outright bans. Generative AI, which often falls into the minimal risk category, must now disclose summaries of the data used during training. However, those summaries do not offer a path to licensing, nor do they give artists a way to opt out.

Under existing EU copyright laws, companies may use copyrighted works for text and data mining unless rights holders have explicitly opted out. But du Moulin and others argue the process for opting out is opaque and ineffective. “You don’t know how to opt out, but your work is already being used,” he said.

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Efforts by some groups to seek licenses or opt out have largely been ignored, according to Adriana Moscono, general manager of the European Grouping of Societies of Authors and Composers (GESAC). “There was absolute denial of the recognition of … the need to respect copyright and to get a license,” she said.

In response, EU officials maintain that existing copyright laws remain fully in force. “The AI Act in no way affects existing EU copyright laws,” said European Commission spokesperson Thomas Regnier, adding that disputes over copyright violations can be handled through private legal channels.

Despite this, industry advocates are urging the Commission to go further. They want the EU to mandate blanket licensing agreements between AI firms and creative rights organizations and to revise the copyright opt-out mechanism to be more effective.

Meanwhile, legal action has already begun. Germany’s Society for Musical Performing and Mechanical Reproduction Rights (GEMA) has filed lawsuits against OpenAI and Suno AI, which may test the limits of how far copyright protections apply to AI training.

AI companies currently operating in the EU must comply with the AI Act’s rules by 2027, while new entrants must meet requirements by 2026. Creators hope that by then, stronger safeguards will be in place to ensure their rights are respected in the AI era.

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Study Says EU Regulations Are Slowing Rollout of Advanced AI Models

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A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.

The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.

Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.

The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.

According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.

The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.

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The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.

At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.

John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.

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French Startups Face Political Uncertainty as AI Reshapes Innovation Landscape

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France’s startup ecosystem is undergoing a period of rapid change, driven by the rise of artificial intelligence and growing concerns about the country’s political future, according to new figures released by startup incubator Station F as it marks its ninth anniversary.

The Paris-based campus, regarded as the world’s largest startup incubator, has supported more than 9,000 startups since opening in 2017. Companies that emerged from the hub include Hugging Face, Pasqal and Pollen Robotics.

New data from Station F shows artificial intelligence has become a dominant force among resident startups. This year, the incubator launched its F/AI programme, attracting major AI firms, including Mistral AI.

According to the survey, 77 percent of startups said AI tools have reduced their hiring needs. Despite that, 82 percent reported they are either actively recruiting or expect to hire employees in the coming months.

One of the most widely used AI tools among startups at the campus is Anthropic’s Claude model, now used by 90 percent of teams. The result marks a major shift from last year when OpenAI held the leading position among AI providers at the incubator.

AI-related acquisitions have also become increasingly common. Earlier this year, cloud computing startup Koyeb was acquired by Mistral AI. Previous deals included the acquisition of Pollen Robotics by Hugging Face, reflecting continued consolidation within the sector.

The profile of startup founders is also changing. Station F reported that the average founder is now 36.5 years old, compared with 31 in 2018. Around 20 percent hold doctoral degrees, suggesting that technical expertise is playing a larger role in attracting investment and building companies.

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The report also found that startup ambitions have shifted. Half of founders expect their businesses to end in acquisitions rather than public listings. Only 9 percent believe their companies will eventually launch an initial public offering, down from 16 percent a year earlier.

International talent remains a key feature of the campus. Roughly one-third of residents come from outside France, with more than 60 nationalities represented. After France, the largest foreign groups come from the United States, Morocco, Germany, the United Kingdom, Algeria and India.

Despite continued growth, political uncertainty has emerged as a significant concern. More than half of founders surveyed said France’s upcoming presidential election is among their biggest worries. Nearly half expressed concern about a possible far-right victory, while about a quarter were worried about a far-left outcome.

Many entrepreneurs cited immigration policy as a major issue, warning that tighter visa rules could make it harder to attract global talent and build internationally competitive businesses.

The findings highlight a startup sector that remains innovative and internationally connected, but increasingly focused on the political environment shaping its future.

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AI Security Test Reveals Vulnerabilities in US Government Systems Within Hours

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An advanced artificial intelligence model developed by Anthropic identified vulnerabilities in highly sensitive US government computer systems within hours during a recent cybersecurity testing exercise, highlighting both the capabilities and risks associated with rapidly evolving AI technology.

The testing was conducted through Anthropic’s Project Glasswing initiative, a programme designed to evaluate how powerful AI systems can be used to strengthen cyber defenses while assessing potential threats to national security and critical infrastructure. According to a US official familiar with the exercise, the company worked closely with intelligence agencies to test its restricted-access model known as Mythos.

The official, speaking anonymously, said the AI was able to detect weaknesses across classified government networks in a matter of hours. While the system successfully identified vulnerabilities, officials stressed that finding security flaws does not necessarily mean the model could immediately exploit them.

The exercise attracted public attention after Democratic Senator Mark Warner of Virginia referenced the findings during a Senate Committee on Banking, Housing, and Urban Affairs hearing on June 11. Warner said information provided by the head of the National Security Agency and US Cyber Command indicated that the AI tool had penetrated nearly all classified systems tested, accomplishing in hours what traditionally could take weeks.

The results have intensified debate in Washington over how advanced AI systems should be managed and regulated. Anthropic has maintained a cooperative relationship with US government agencies on security research, but tensions have emerged between the company and the Trump administration over the deployment of its most powerful models.

Earlier this month, the administration issued a directive requiring Anthropic to restrict access to its latest AI systems, known as Fable 5 and Mythos 5, for foreign users. The order followed President Donald Trump’s executive action establishing a framework for reviewing national security risks associated with cutting-edge AI technologies before they are publicly released.

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Anthropic responded by limiting access to certain models, though the company questioned whether the government’s restrictions were necessary. The firm has argued that concerns about cybersecurity risks should be balanced against the benefits AI can provide in strengthening digital defenses.

The directive has also drawn criticism from the technology sector. More than 100 cybersecurity specialists and executives from major technology companies, including Adobe and Nvidia, have signed a letter urging the government to reconsider the restrictions.

The group acknowledged that Anthropic’s models are highly effective at identifying software vulnerabilities and simulating cyberattacks. However, they argued that similar capabilities exist in other advanced AI systems and warned that limiting access to leading defensive technologies could weaken US cybersecurity efforts at a time when rival nations are investing heavily in artificial intelligence.

The debate reflects growing concerns over how governments and technology companies can balance innovation, security and competition as increasingly powerful AI systems reshape the cybersecurity landscape.

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