Vietnam’s draft AI Law, released for public consultation, aims to establish a comprehensive governance framework by January 2026. It introduces phased implementation, risk-based classification, role-driven accountability, and obligations for general-purpose AI. The law promotes innovation through incentives and sandboxes, and enforces strict penalties for violations, including revenue-based fines. Businesses in high-risk sectors like finance and health will face increased scrutiny. Stakeholders are urged to submit feedback before the National Assembly’s session on 20 October 2025.

Organizations domiciled in Colombia can now adopt the international standard ISO/IEC 42001:2023, which will make them among the first organizations in Latin America to have a certifiable standard for the responsible management of artificial intelligence (AI) systems.

Colombia has adopted ISO/IEC 42001:2023, becoming the first country in Latin America to implement a certifiable international standard for AI systems. This standard promotes responsible AI governance, transparency, and risk management. It aligns with Colombia’s national AI strategy and offers competitive advantages for organizations, including global recognition and regulatory compliance. The standard covers AI-specific risk assessment, operational controls, and integration with other ISO standards.

Colombia’s Law 2502 of 2025 adds an aggravating factor to identity theft committed using AI, increasing penalties and formally recognizing deepfakes. It mandates traceability systems and coordinated public policy to address AI-related crimes. The law also strengthens biometric data protections, requiring explicit consent and strict processing safeguards. Implementation begins July 2026, reflecting Colombia’s commitment to digital ethics and cybersecurity.

The Committee on Employment and Social Affairs of the European Parliament recently published a draft report on digitalisation, AI and algorithmic management in the workplace. It makes a number of recommendations including for a directive specifically regulating ‘algorithmic management’ in the workplace with protections extending to self-employed individuals in addition to workers. There are a number of steps in the EU legislative process before these proposals could become legally binding. Given their significance, including the broad definition of ‘algorithmic management’, impacted organisations should nevertheless monitor if and how they develop.

Our global panel discussed how authorities are stepping up antitrust enforcement, the challenges of managing cross-border investigations, and what effective compliance looks like in 2025. Authorities are increasingly proactive and coordinated, using AI and data scraping to detect infringements such as bid rigging, price signalling, parallel pricing, and suspicious labour…

The Malaysian Personal Data Protection Department recently published three public consultation papers to gather feedback on proposed guidelines on (i) data protection impact assessments, (ii) data protection by design and (iii) automated decision-making and profiling. The guidelines are part of a set of seven guidelines that are being (and have been) developed to complement the Personal Data Protection Act 2010 (PDPA), as announced by Digital Minister Gobind Singh Deo in January last year.

The Canadian Competition Bureau (“Bureau”) recently published the Consultation on Artificial Intelligence and Competition: What We Heard (“Report”), which summarizes feedback it received from its 2024 public consultation about how AI is impacting competition in Canada. The Bureau will use the insights from the submissions summarized in the Report to inform how it will protect and promote competition in Canada’s AI market.

On 11 February 2025, the Singapore government announced new AI safety initiatives, namely: (i) the Global AI Assurance Pilot for best practices around technical testing of generative AI applications; (ii) the Joint Testing Report with Japan; and (iii) the publication of the Singapore AI Safety Red Teaming Challenge Evaluation Report. These initiatives aim to enhance AI governance, innovation and safety standards.

The Dubai Centre for Artificial Intelligence has launched a new accreditation known as the Dubai AI Seal (“Seal”), which aims to provide companies with a seal of approval regarding their AI solutions. The Seal is aimed at companies licensed in the Emirate of Dubai and who provide AI-related products and services. The launch of the scheme aligns with the Dubai Universal Blueprint for Artificial Intelligence, a government policy that serves as a roadmap for the acceleration of AI adoption in the UAE.