OpenAI details Sora 2 safeguards for likeness, audio, and harmful content

OpenAI has published a new overview of the safety measures built into Sora 2 and the Sora app, setting out how the company says it is approaching provenance, likeness protection, teen safeguards, harmful-content filtering, audio controls, and user reporting tools. The Sora team published the note on 23 March 2026.

OpenAI says every video generated with Sora includes visible and invisible provenance signals, and that all videos also embed C2PA metadata. The company adds that many outputs feature visible moving watermarks that include the creator’s name, while internal reverse-image and audio search tools are used to trace videos back to Sora.

A substantial part of the update focuses on likeness and consent. OpenAI says users can upload images of people to generate videos, but only after attesting that they have consent from the people featured and the right to upload the media. OpenAI also says image-to-video generations involving people are subject to stricter safeguards than Sora Characters, and that images including children and young-looking persons face stricter moderation. Shared videos generated from such images will always carry watermarks, according to the company.

OpenAI also sets out controls linked to its characters feature, which it says is intended to give users stronger control over their likeness, including both appearance and voice. According to the company, users can decide who can use their characters, revoke access at any time, and review, delete, or report videos featuring their characters. OpenAI says it also applies additional restrictions designed to limit major changes to a person’s appearance, avoid embarrassing uses, and maintain broadly consistent identity presentation.

Protections for younger users form another part of the update. OpenAI says teen accounts are subject to stronger limitations on mature output, that age-inappropriate or harmful content is filtered from teen feeds, and that adult users cannot initiate direct messages with teens. Parental controls in ChatGPT can also be used to manage teen messaging permissions and to select a non-personalised feed in the app, while default limits apply to continuous scrolling for teens.

OpenAI says harmful-content controls operate at both creation and distribution stages. Prompt and output checks are used across multiple video frames and audio transcripts to block content including sexual material, terrorist propaganda, and self-harm promotion. OpenAI also says it has tightened policies for video generation compared with image generation because of added realism, motion, and audio, while automated systems and human review are used to monitor feed content against its global usage policies.

Audio generation is treated separately in the note. OpenAI says generated speech transcripts are automatically scanned for possible policy violations, and that prompts intended to imitate living artists or existing works are blocked. The company also says it honours takedown requests from creators who believe an output infringes their work.

User controls and recourse are presented as the final layer. OpenAI says users can choose whether to share videos to the feed, remove published content, and report videos, profiles, direct messages, comments, and characters for abuse. Blocking tools are also available, according to the company, to stop other users from viewing a profile or posts, using a character, or contacting someone through direct message.

OpenAI’s post is framed as a product-safety explanation rather than an independent assessment of the effectiveness of the measures in practice. Much of the note describes controls that the company says it has built into Sora 2, but it does not provide external evaluation data in the published summary.

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Microsoft and NVIDIA unveil AI tools for nuclear energy permitting and operations

Microsoft has announced an AI collaboration with NVIDIA to support nuclear energy projects across permitting, design, construction, and operations. In a post published on 24 March, the tech conglomerate said the initiative aims to provide end-to-end tools for the nuclear sector, focusing on streamlining permitting, accelerating design, and optimising operations.

Microsoft frames the effort within a broader energy challenge, arguing that rising power demand and long project timelines are putting pressure to accelerate the delivery of firm, carbon-free power. The company says customised engineering, fragmented data, and manual regulatory review slow nuclear projects. It presents AI as a way to make project development more repeatable, traceable, secure, and predictable.

The post says the collaboration spans the full lifecycle of a nuclear plant. Microsoft describes a model in which digital twins, high-fidelity simulations, and AI-assisted workflows support design and engineering, licensing and permitting, construction and delivery, and operations and maintenance.

According to the company, engineers would be able to reuse design patterns, model the impact of changes before construction begins, and link project decisions to supporting evidence and applicable rules. Microsoft also says generative AI can assist with drafting and gap analysis in permit documentation, while predictive modelling and operational digital twins can support anomaly detection and maintenance planning.

Microsoft says traceability and auditability are central to the approach. The company lists four intended qualities of the system: traceable records linking engineering decisions to evidence and regulations, audit-ready documentation, secure use within a governed environment, and predictable outcomes through simulations intended to identify delays before they occur in the real world.

Several case examples are included in the post. Microsoft says Aalo Atomics reduced the permitting process by 92% using its Generative AI for Permitting solution and estimates annual savings of 80$ million.

Aalo Atomics Chief Technology Officer Yasir Arafat is quoted as saying: ‘Two things matter most: enterprise-scale complexity and mission-critical reliability. We’re deploying something complex at a scale only a company like Microsoft really understands. There’s no room for anything less than proven reliability.’

Microsoft also says Southern Nuclear has deployed Copilot agents across engineering and licensing workstreams to improve consistency, reuse knowledge faster, and support decision-making. Idaho National Laboratory is described as an early adopter in the US federal context, with Microsoft saying the lab is using AI capabilities to automate the assembly of engineering and safety analysis reports and to create standard methodologies for regulators to adopt the tools safely.

The post also expands beyond those three examples. Microsoft says Everstar, described as an NVIDIA Inception startup, is bringing domain-specific AI for nuclear to Azure to support project workflows and governed data pipelines.

Everstar Chief Executive Officer Kevin Kong is quoted as saying: ‘The nuclear industry has been bottlenecked by documentation burden and regulatory complexity for decades. This partnership means our customers get the secure, scalable cloud deployments they demand. It’s a significant step toward making nuclear power fast, safe, and unstoppable.’

Microsoft also says Atomic Canyon’s Neutron platform is available on the Microsoft Marketplace for nuclear developers via established procurement channels.

At the technical level, Microsoft says the collaboration brings together NVIDIA Omniverse, NVIDIA Earth-2, NVIDIA CUDA-X, NVIDIA AI Enterprise, PhysicsNeMo, Isaac Sim, and Metropolis with Microsoft Generative AI for Permitting Solution Accelerator and Microsoft Planetary Computer. The company presents the stack as a digital ecosystem for nuclear energy on Azure.

The official post is a corporate announcement rather than an independent assessment of the approach’s effectiveness. The published note outlines the company’s intended use cases, named partners, and customer examples, but it does not provide a third-party evaluation of the broader claims regarding delivery speed, regulatory confidence, or sector-wide impact.

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Zimbabwe advances AI national strategy with UNESCO support

Zimbabwe has launched a National Artificial Intelligence Strategy for 2026 to 2030, marking a significant step towards shaping its digital future instead of relying solely on traditional development pathways.

Announced by President Emmerson Mnangagwa in Harare, the strategy sets out a national framework for the responsible use of AI to support innovation, improve public services, and expand economic opportunities across sectors such as agriculture, healthcare, education, finance, and public administration.

The strategy places strong emphasis on building digital infrastructure, developing AI skills, and strengthening research and innovation ecosystems.

Officials highlighted the importance of governance frameworks to ensure that AI systems remain transparent, ethical, and aligned with national priorities instead of advancing without oversight.

The initiative reflects a broader effort to position Zimbabwe within the evolving technological landscape of the fourth industrial revolution while promoting sustainable economic growth.

Development of the strategy was supported by UNESCO, working alongside national institutions and stakeholders from academia, industry, and civil society.

The process was informed by the Artificial Intelligence Readiness Assessment Methodology and aligned with UNESCO Recommendation on the Ethics of Artificial Intelligence, promoting a human-centred approach that prioritises human rights, fairness, and transparency.

Regional initiatives across Southern Africa have also contributed to strengthening AI adoption readiness through similar assessment frameworks.

Looking ahead, Zimbabwe aims to translate the strategy into concrete investments in infrastructure, talent development, and innovation ecosystems.

International partners, including the UN, have expressed support for implementation efforts, emphasising the importance of inclusive growth and equitable access to digital opportunities.

By combining national leadership with international collaboration, Zimbabwe seeks to ensure that AI benefits communities across urban and rural areas rather than widening existing socioeconomic divides.

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New AI safety policies target teen protection in apps

OpenAI has released a set of prompt-based safety policies to help developers build safer AI experiences for teenagers. The tools work with the open-weight model gpt-oss-safeguard, turning safety requirements into practical classifiers for real-world use.

The policies address teen risks, including graphic violence, sexual content, harmful body image behaviour, dangerous challenges, roleplay, and age-restricted goods and services. Developers can use them for both real-time filtering and offline content analysis.

The framework was developed with input from organisations such as Common Sense Media and everyone.ai to improve clarity and consistency in teen safety rules. The initiative also responds to long-standing challenges in translating high-level safety goals into precise operational systems.

Open-source availability through the ROOST Model Community allows developers to adapt and expand the policies for different use cases and languages. The framework is a foundational step, not a complete solution, encouraging layered safeguards and ongoing refinement.

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Google sets 2029 deadline for post-quantum cryptography migration

A transition to post-quantum cryptography by 2029 is being led by Google, aiming to secure digital systems against future quantum computing threats instead of relying on existing encryption standards.

The move reflects growing concern that advances in quantum hardware and algorithms could eventually undermine current cryptographic protections, particularly through attacks that store encrypted data today for decryption in the future.

Quantum computers are expected to challenge widely used encryption and digital signature systems, prompting the need for early transition strategies.

Google has updated its threat model to prioritise authentication services, recognising that digital signatures pose a critical vulnerability if not addressed before the arrival of quantum machines capable of cryptanalysis.

The company is encouraging broader industry action to accelerate migration efforts and reduce long-term security risks.

As part of its strategy, Google is integrating post-quantum cryptography into its products and services.

Android 17 will include quantum-resistant digital signature protection aligned with standards developed by the US’s National Institute of Standards and Technology. At the same time, support has already been introduced in Google Chrome and cloud platforms.

These measures aim to bring advanced security technologies directly to users instead of limiting them to experimental environments.

By setting a clear timeline, Google aims to instil urgency and direction across the wider technology sector.

The transition to post-quantum cryptography is expected to become a critical step in maintaining online security, ensuring that digital infrastructure remains resilient as quantum computing capabilities continue to evolve.

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OpenAI launches a public Safety Bug Bounty programme

OpenAI has introduced a public Safety Bug Bounty programme to identify misuse and safety risks across its AI systems. The initiative expands the company’s existing vulnerability reporting framework by focusing on harms that fall outside traditional security definitions.

The programme covers AI threats such as agentic risks, prompt injection, data exfiltration, and bypassing platform integrity controls. Researchers are encouraged to submit reproducible cases where AI systems perform harmful actions or expose sensitive information.

Unlike standard security reports, the initiative accepts safety issues that pose real-world risk, even if they are not classified as technical vulnerabilities. Dedicated safety and security teams will assess submissions and may be reassigned depending on relevance.

The scheme is open to external researchers and ethical hackers to strengthen AI safety through broader collaboration. OpenAI says the approach is intended to improve resilience against evolving misuse as AI systems become more advanced.

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Scotland publishes AI guidance for schools

The Scottish government has published national guidance on the use of AI in schools, aiming to support the safe and ethical adoption of AI in classrooms. The document provides advice for teachers and pupils as AI use continues to expand across society.

The guidance outlines potential benefits of AI alongside risks that need to be considered, and includes examples of appropriate classroom use. It was developed with the EIS teaching union, local government and Education Scotland.

Education Secretary Jenny Gilruth said AI should support creativity, critical thinking and personalised learning while protecting pupils’ rights and privacy. She added that technology must not replace teachers or human relationships in education.

Andrea Bradley said AI should remain a tool for teachers and not replace professional judgement. The non-statutory guidance allows schools and local authorities flexibility to develop their own policies as AI continues to evolve.

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CFTC launches AI and crypto innovation task force

The Commodity Futures Trading Commission (CFTC), an independent agency of the United States federal government, announced the creation of an Innovation Task Force to support the development of new technologies in US derivatives markets. Chairman Michael S. Selig leads the initiative and focuses on establishing clear regulatory approaches.

The task force will work with the Innovation Advisory Committee to develop frameworks covering crypto assets, blockchain technologies, AI and autonomous systems, and prediction markets. Authorities said the aim is to provide clarity for innovators building new financial products.

According to Selig, clearer rules are intended to support responsible innovation and ensure market participants remain competitive. The task force is also expected to help implement the Commission’s broader innovation agenda.

Coordination with other federal bodies is planned, including collaboration with the US Securities and Exchange Commission and its Crypto Task Force. Michael J. Passalacqua, senior advisor to the Chairman, has been appointed to lead the initiative.

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EU strengthens semiconductor strategy through Chips Act dialogue

Executive Vice-President Henna Virkkunen will host a high-level dialogue in Brussels to assess the implementation of the European Chips Act Regulation and gather industry feedback ahead of its planned revision.

Stakeholders from across the semiconductor ecosystem are expected to exchange views and present recommendations to shape future policy direction.

An initiative that forms part of the broader strategy led by the European Commission to reinforce technological sovereignty and competitiveness, rather than relying heavily on external suppliers.

The Chips Act seeks to strengthen Europe’s semiconductor ecosystem, improve supply chain resilience, and reduce strategic dependencies in critical technologies.

The dialogue follows a public consultation and call for evidence conducted in autumn 2025, with findings set to inform the upcoming legislative revision.

Industry representatives will provide direct input through a report outlining challenges, opportunities, and proposed policy adjustments, contributing to a more targeted and effective framework for semiconductor development.

Looking ahead, the revision of the Chips Act will be integrated into a wider Technological Sovereignty package designed to boost the capacity of Europe’s digital industries.

By combining stakeholder engagement with policy reform, the European Commission aims to ensure that semiconductor innovation and production can expand across the EU rather than remain constrained by reliance on external suppliers.

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National AI readiness initiative introduced in the US

The US National Science Foundation has introduced the NSF TechAccess: AI-Ready America initiative to expand access to AI education, tools, and training. The programme is designed to ensure workers, businesses, and communities can actively participate in the growing AI-driven economy.

Federal collaboration forms a core part of the initiative, bringing together the Department of Agriculture’s National Institute of Food and Agriculture, the Department of Labour, and the Small Business Administration.

The effort aims to close gaps in AI capability by improving literacy, supporting small businesses, and building hands-on learning pathways such as internships and applied training.

A network of up to 56 state and territory-based Coordination Hubs will be created to coordinate local AI adoption strategies. Each hub will receive up to $1 million in annual funding over three years, with the potential for an extension based on continued need and impact.

Further funding rounds are planned to appoint a national coordination lead and support pilot projects that scale AI readiness solutions. The initiative is part of a broader strategy informed by the White House AI Action Plan.

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