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Canada sets national guidelines for equitable AI

Yesterday, Canada released the CAN-ASC-6.2 – Accessible and Equitable Artificial Intelligence Systems standard, marking the first national standard focused specifically on accessible AI.

A framework that ensures AI systems are inclusive, fair, and accessible from design through deployment. Its release coincides with the International Day of Persons with Disabilities, emphasising Canada’s commitment to accessibility and inclusion.

The standard guides organisations and developers in creating AI that accommodates people with disabilities, promotes fairness, prevents exclusion, and maintains accessibility throughout the AI lifecycle.

It provides practical processes for equity in AI development and encourages education on accessible AI practices.

The standard was developed by a technical committee composed largely of people with disabilities and members of equity-deserving groups, incorporating public feedback from Canadians of diverse backgrounds.

Approved by the Standards Council of Canada, CAN-ASC-6.2 meets national requirements for standards development and aligns with international best practices.

Moreover, the standard is available for free in both official languages and accessible formats, including plain language, American Sign Language and Langue des signes québécoise.

By setting clear guidelines, Canada aims to ensure AI serves all citizens equitably and strengthens workforce inclusion, societal participation, and technological fairness.

An initiative that highlights Canada’s leadership in accessible technology and provides a practical tool for organisations to implement inclusive AI systems.

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AI and automation need human oversight in decision-making

Leaders from academia and industry in Hyderabad, India are stressing that humans must remain central in decision-making as AI and automation expand across society. Collaborative intelligence, combining AI experts, domain specialists and human judgement, is seen as essential for responsible adoption.

Universities are encouraged to treat students as primary stakeholders, adapting curricula to integrate AI responsibly and avoid obsolescence. Competency-based, values-driven learning models are being promoted to prepare students to question, shape and lead through digital transformation.

Experts highlighted that modern communication is co-produced by humans, machines and algorithms. Designing AI to augment human agency rather than replace it ensures a balance between technology and human decision-making across education and industry.

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Sega cautiously adopts AI in game development

Game development is poised to transform as Sega begins to incorporate AI selectively. The Japanese studio aims to enhance efficiency across production processes while preserving the integrity of creative work, such as character design.

Executives emphasised that AI will primarily support tasks such as content transcription and workflow optimisation, avoiding roles that require artistic skills. Careful evaluation of each potential use case will guide its implementation across projects.

The debate over generative AI continues to divide the gaming industry, with some developers raising concerns that candidates may misrepresent AI-generated work during the hiring process. Studios are increasingly requiring proof of actual creative ability to avoid productivity issues.

Other developers, including Arrowhead Game Studios, emphasise the importance of striking a balance between AI use and human creativity. By reducing repetitive tasks rather than replacing artistic roles, studios aim to enhance efficiency while preserving the unique contributions of human designers.

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EU opens antitrust probe into Meta’s WhatsApp AI rollout

Brussels has opened an antitrust inquiry into Meta over how AI features were added to WhatsApp, focusing on whether the updated access policies hinder market competition. Regulators say scrutiny is needed as integrated assistants become central to messaging platforms.

Meta AI has been built into WhatsApp across Europe since early 2025, prompting questions about whether external AI providers face unfair barriers. Meta rejects the accusations and argues that users can reach rival tools through other digital channels.

Italy launched a related proceeding in July and expanded it in November, examining claims that Meta curtailed access for competing chatbots. Authorities worry that dominance in messaging could influence the wider AI services market.

EU officials confirmed the case will proceed under standard antitrust rules rather than the Digital Markets Act. Investigators aim to understand how embedded assistants reshape competitive dynamics in services used by millions.

European regulators say outcomes could guide future oversight as generative AI becomes woven into essential communications. The case signals growing concern about concentrated power in fast-evolving AI ecosystems.

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Uzbekistan sets principles for responsible AI

A new ethical framework for the development and use of AI technologies has been adopted by Uzbekistan.

The rules, prepared by the Ministry of Digital Technologies, establish unified standards for developers, implementing organisations and users of AI systems, ensuring AI respects human rights, privacy and societal trust.

A framework that is part of presidential decrees and resolutions aimed at advancing AI innovation across the country. It also emphasises legality, transparency, fairness, accountability, and continuous human oversight.

AI systems must avoid discrimination based on gender, nationality, religion, language or social origin.

Developers are required to ensure algorithmic clarity, assess risks and bias in advance, and prevent AI from causing harm to individuals, society, the state or the environment.

Users of AI systems must comply with legislation, safeguard personal data, and operate technologies responsibly. Any harm caused during AI development or deployment carries legal liability.

The Ministry of Digital Technologies will oversee standards, address ethical concerns, foster industry cooperation, and improve digital literacy across Uzbekistan.

An initiative that aligns with broader efforts to prepare Uzbekistan for AI adoption in healthcare, education, transport, space, and other sectors.

By establishing clear ethical principles, the country aims to strengthen trust in AI applications and ensure responsible and secure use nationwide.

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UNESCO launches AI guidelines for courts and tribunals

UNESCO has launched new Guidelines for the Use of AI Systems in Courts and Tribunals to ensure AI strengthens rather than undermines human-led justice. The initiative arrives as courts worldwide face millions of pending cases and limited resources.

In Argentina, AI-assisted legal tools have increased case processing by nearly 300%, while automated transcription in Egypt is improving court efficiency.

Judicial systems are increasingly encountering AI-generated evidence, AI-assisted sentencing, and automated administrative processes. AI misuse can have serious consequences, as seen in the UK High Court where false AI-generated arguments caused delays, extra costs, and fines.

UNESCO’s Guidelines aim to prevent such risks by emphasising human oversight, auditability, and ethical AI use.

The Guidelines outline 15 principles and provide recommendations for judicial organisations and individual judges throughout the AI lifecycle. They also serve as a benchmark for developing national and regional standards.

UNESCO’s Judges’ Initiative, which has trained over 36,000 judicial operators in 160 countries, played a key role in shaping and peer-reviewing the Guidelines.

The official launch will take place at the Athens Roundtable on AI and the Rule of Law in London on 4 December 2025. UNESCO aims for the standards to ensure responsible AI use, improve court efficiency, and uphold public trust in the judiciary.

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Meta expands global push against online scam networks

The US tech giant, Meta, outlined an expanded strategy to limit online fraud by combining technical defences with stronger collaboration across industry and law enforcement.

The company described scams as a threat to user safety and as a direct risk to the credibility of its advertising ecosystem, which remains central to its business model.

Executives emphasised that large criminal networks continue to evolve and that a faster, coordinated response is essential instead of fragmented efforts.

Meta presented recent progress, noting that more than 134 million scam advertisements were removed in 2025 and that reports about misleading advertising fell significantly in the last fifteen months.

It also provided details about disrupted criminal networks that operated across Facebook, Instagram and WhatsApp.

Facial recognition tools played a crucial role in detecting scam content that utilised images of public figures, resulting in an increased volume of removals during testing, rather than allowing wider circulation.

Cooperation with law enforcement remains central to Meta’s approach. The company supported investigations that targeted criminal centres in Myanmar and illegal online gambling operations connected to transfers through anonymous accounts.

Information shared with financial institutions and partners in the Global Signal Exchange contributed to the removal of thousands of accounts. At the same time, legal action continued against those who used impersonation or bulk messaging to deceive users.

Meta stated that it backs bipartisan legislation designed to support a national response to online fraud. The company argued that new laws are necessary to weaken transnational groups behind large-scale scam operations and to protect users more effectively.

A broader aim is to strengthen trust across Meta’s services, rather than allowing criminal activity to undermine user confidence and advertiser investment.

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YouTube criticises Australia’s new youth social-media restrictions

Australia’s forthcoming ban on social media accounts for users under 16 has prompted intense criticism from YouTube, which argues that the new law will undermine existing child safety measures.

The report notes that from 10 December, young users will be logged out of their accounts and barred from posting or uploading content, though they will still be able to watch videos without signing in.

YouTube said the policy will remove key parental-control tools, such as content filters, channel blocking and well-being reminders, which only function for logged-in accounts.

Rachel Lord, Google and YouTube public-policy lead for Australia, described the measure as ‘rushed regulation’ and warned the changes could make children ‘less safe’ by stripping away long-established protections.

Communications Minister Anika Wells rejected this criticism as ‘outright weird’, arguing that if YouTube believes its own platform is unsafe for young users, it must address that problem itself.

The debate comes as Australia’s eSafety Commissioner investigates other youth-focused apps such as Lemon8 and Yope, which have seen a surge in downloads ahead of the ban.

Regulators reversed YouTube’s earlier exemption in July after identifying it as the platform where 10- to 15-year-olds most frequently encountered harmful content.

Under the new Social Media Minimum Age Act, companies must deactivate underage accounts, prevent new sign-ups and halt any technical workarounds or face penalties of up to A$49.5m.

Officials say the measure responds to concerns about the impact of algorithms, notifications and constant connectivity on Gen Alpha. Wells said the law aims to reduce the ‘dopamine drip’ that keeps young users hooked to their feeds, calling it a necessary step to shield children from relentless online pressures.

YouTube has reportedly considered challenging its inclusion in the ban, but has not confirmed whether it will take legal action.

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Mistral AI unveils new open models with broader capabilities

Yesterday, Mistral AI introduced Mistral 3 as a new generation of open multimodal and multilingual models that aim to support developers and enterprises through broader access and improved efficiency.

The company presented both small dense models and a new mixture-of-experts system called Mistral Large 3, offering open-weight releases to encourage wider adoption across different sectors.

Developers are encouraged to build on models in compressed formats that reduce deployment costs, rather than relying on heavier, closed solutions.

The organisation highlighted that Large 3 was trained with extensive resources on NVIDIA hardware to improve performance in multilingual communication, image understanding and general instruction tasks.

Mistral AI underlined its cooperation with NVIDIA, Red Hat and vLLM to deliver faster inference and easier deployment, providing optimised support for data centres along with options suited for edge computing.

A partnership that introduced lower-precision execution and improved kernels to increase throughput for frontier-scale workloads.

Attention was also given to the Ministral 3 series, which includes models designed for local or edge settings in three sizes. Each version supports image understanding and multilingual tasks, with instruction and reasoning variants that aim to strike a balance between accuracy and cost efficiency.

Moreover, the company stated that these models produce fewer tokens in real-world use cases, rather than generating unnecessarily long outputs, a choice that aims to reduce operational burdens for enterprises.

Mistral AI continued by noting that all releases will be available through major platforms and cloud partners, offering both standard and custom training services. Organisations that require specialised performance are invited to adapt the models to domain-specific needs under the Apache 2.0 licence.

The company emphasised a long-term commitment to open development and encouraged developers to explore and customise the models to support new applications across different industries.

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Honolulu in the US pushes for transparency in government AI use

Growing pressure from Honolulu residents in the US is prompting city leaders to consider stricter safeguards surrounding the use of AI. Calls for greater transparency have intensified as AI has quietly become part of everyday government operations.

Several city departments already rely on automated systems for tasks such as building-plan screening, customer service support and internal administrative work. Advocates now want voters to decide whether the charter should require a public registry of AI tools, human appeal rights and routine audits.

Concerns have deepened after the police department began testing AI-assisted report-writing software without broad consultation. Supporters of reform argue that stronger oversight is crucial to maintain public trust, especially if AI starts influencing high-stakes decisions that impact residents’ lives.

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