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Statement on Inclusive and Sustainable Artificial Intelligence for People and the Planet

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PARIS, Feb. 12, 2025 /CNW/ – 

1.         Participants from over 100 countries, including government leaders, international organisations, representatives of civil society, the private sector, and the academic and research communities gathered in Paris on February 10 and 11, 2025, to hold the AI Action Summit. Rapid development of AI technologies represents a major paradigm shift, impacting our citizens, and societies in many ways. In line with the Paris Pact for People and the Planet, and the principles that countries must have ownership of their transition strategies, we have identified priorities and launched concrete actions to advance the public interest and to bridge digital divides through accelerating progress towards the Sustainable Development Goals (SDGs). Our actions are grounded in three main principles of science, solutions – focusing on open AI models in compliance with countries frameworks – and policy standards, in line with international frameworks.

2.         This Summit has highlighted the importance of reinforcing the diversity of the AI ecosystem. It has laid an open, multi-stakeholder and inclusive approach that will enable AI to be human rights based, human-centric, ethical, safe, secure and trustworthy while also stressing the need and urgency to narrow the inequalities and assist developing countries in artificial intelligence capacity-building so they can build AI capacities.

3.         Acknowledging existing multilateral initiatives on AI, including the United Nations General Assembly Resolutions, the Global Digital Compact, the UNESCO Recommendation on Ethics of AI, the African Union Continental AI Strategy, and the works of the Organization for Economic Cooperation and Development (OECD), the Council of Europe and European Union, the G7 including the Hiroshima AI Process and G20, we have affirmed the following main priorities:

Promoting AI accessibility to reduce digital divides
Ensuring AI is open, inclusive, transparent, ethical, safe, secure and trustworthy, taking into account international frameworks for all
Making innovation in AI thrive by enabling conditions for its development and avoiding market concentration driving industrial recovery and development
Encouraging AI deployment that positively shapes the future of work and labour markets and delivers opportunity for sustainable growth
Making AI sustainable for people and the planet
Reinforcing international cooperation to promote coordination in international governance

To deliver on these priorities:

Founding members have launched a major Public Interest AI Platform and Incubator, to support, amplify, decrease fragmentation between existing public and private initiatives on Public Interest AI and address digital divides. The Public interest AI Initiative will sustain and support digital public goods and technical assistance and capacity building projects in data, model development, openness and transparency, audit, compute, talent, financing and collaboration to support and co-create a trustworthy AI ecosystem advancing the public interest of all, for all and by all.
We have discussed, at a Summit for the first time and in a multi-stakeholder format, issues related to AI and energy. This discussion has led to sharing knowledge to foster investments for sustainable AI systems (hardware, infrastructure, models), to promoting an international discussion on AI and environment, to welcoming an observatory on the energy impact of AI with the International Energy Agency, to showcasing energy-friendly AI innovation.
We recognize the need to enhance our shared knowledge on the impacts of AI in the job market, though the creation of network of Observatories, to better anticipate AI implications for workplaces, training and education and to use AI to foster productivity, skill development, quality and working conditions and social dialogue.

4.         We recognize the need for inclusive multistakeholder dialogues and cooperation on AI governance. We underline the need for a global reflection integrating inter alia questions of safety, sustainable development, innovation, respect of international laws including humanitarian law and human rights law and the protection of human rights, gender equality, linguistic diversity, protection of consumers and of intellectual property rights. We take notes of efforts and discussions related to international fora where AI governance is examined. As outlined in the Global Digital Compact adopted by the UN General Assembly, participants also reaffirmed their commitment to initiate a Global Dialogue on AI governance and the Independent International Scientific Panel on AI and to align on-going governance efforts, ensuring complementarity and avoiding duplication.

5.         Harnessing the benefits of AI technologies to support our economies and societies depends on advancing Trust and Safety. We commend the role of the Bletchley Park AI Safety Summit and Seoul Summits that have been essential in progressing international cooperation on AI safety and we note the voluntary commitments launched there. We will keep addressing the risks of AI to information integrity and continue the work on AI transparency.

6.         We look forward to next AI milestones such as the Kigali Summit, the 3rd Global Forum on the Ethics of AI hosted by Thailand and UNESCO, the 2025 World AI Conference and the AI for Good Global Summit 2025 to follow up on our commitments and continue to take concrete actions aligned with a sustainable and inclusive AI.

Signatory countries:

Armenia
Australia
Austria
Belgium
Brazil
Bulgaria
Cambodia
Canada
Chile
China
Croatia
Cyprus
Czechia
Denmark
Djibouti
Estonia
Finland
France
Germany
Greece
Hungary
India
Indonesia
Ireland
Italy
Japan
Kazakhstan
Kenya
Latvia
Lithuania
Luxembourg
Malta
Mexico
Monaco
Morocco
New Zealand
Nigeria
Norway
Poland
Portugal
Romania
Rwanda
Senegal
Serbia
Singapore
Slovakia
Slovenia
South Africa
Republic of Korea
Spain
Sweden
Switzerland
Thailand
Netherlands
United Arab Emirates
Ukraine
Uruguay
Vatican
European Union
African Union Commission

This document is also available at https://pm.gc.ca

 

SOURCE Prime Minister’s Office

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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4 minutes ago

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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4 minutes ago

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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4 minutes ago

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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