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The UK’s National AI Strategy If you are interested in learning more about the UK’s National AI Strategy, additional details can be found on the original platform at the following link:https://aistandardshub.org/the-national-ai-strategyhttps://www.linkedin.com/company/ai-standards-hub/The following information presents the UK government’s position on AI as set out in the UK’s National AI Strategy, and highlights how the AI Standards Hub will contribute to the delivery of the UK’s vision and outcomes for AI. The National AI Strategy outlines the United Kingdom’s long-term vision for becoming a global leader in artificial intelligence by promoting innovation, investment, and responsible AI governance. The strategy focuses on three major pillars: strengthening the AI ecosystem through research and talent development, supporting the transition to an AI-enabled economy across industries, and establishing effective national and international AI governance frameworks.A key component of the strategy is the development of trustworthy and ethical AI through international technical standards. The UK established the AI Standards Hub to support collaboration among government, academia, industry, and international partners in shaping global AI standards. The initiative aims to improve AI reliability, transparency, security, and interoperability while encouraging innovation and public trust in AI technologies.The strategy also emphasizes a “pro-innovation” approach to AI governance by balancing regulation with technological advancement. The government supports the creation of AI governance tools, standards, and policy frameworks that encourage responsible AI adoption while protecting public values, human rights, and economic competitiveness. In addition, the strategy highlights the importance of international cooperation, AI ethics, and long-term AI safety in supporting sustainable digital transformation.LSE to launch Global Forum on AI and the Social Sciences with $2m award from the MacArthur Foundationhttps://www.lse.ac.uk/dsi/news/2026/global-forum-announcedThe London School of Economics and Political Science (LSE) has announced the launch of a new Global Forum on AI and the Social Sciences, supported by a $2 million grant from the John D. and Catherine T. MacArthur Foundation. The initiative aims to bring together policymakers, researchers, industry leaders, and civil society representatives to explore how artificial intelligence can better serve society and human needs through evidence-based research and international collaboration.The Forum will be led by professors from LSE’s Data Science Institute (DSI) and will focus on the social and economic impacts of AI. Each year, the Forum will address a different major AI-related issue. The inaugural event, scheduled for September 2026 at LSE, will examine how AI is transforming the future of work and how governments, businesses, and workers can prepare for these changes.In addition, LSE plans to publish an annual State of AI and Society Report to summarize current research findings, identify knowledge gaps, and support informed policymaking. The initiative will also introduce a Commitment Charter, encouraging cooperation among governments, researchers, industry, and funding organizations to promote responsible and human-centered AI development. Overall, the Forum aims to position social science research at the center of global AI discussions and governance.Ethics of AIOnline coursehttps://cmu.to/92C4MThe LSE Ethics of AI Online Course is a short online program developed by London School of Economics and Political Science that focuses on the ethical, social, and political implications of artificial intelligence. The course is designed to help learners understand how AI affects governments, businesses, and society while developing practical skills for addressing ethical challenges related to AI technologies.The program explores major topics such as algorithmic bias, fairness, transparency, privacy, democracy, workplace inequality, and AI governance. Participants learn how AI systems can influence decision-making, hiring processes, public administration, and social structures. The course also discusses the responsibilities of governments and multinational companies in designing and deploying responsible AI systems.The course is structured into three main modules covering AI and the state, AI and business, and AI and society. Through case studies, discussions, and practical activities, learners develop critical thinking skills to evaluate ethical dilemmas and understand global approaches to AI regulation and governance. Overall, the course emphasizes human-centered and responsible AI development while preparing professionals to navigate the growing impact of AI in real-world contexts.

International Journal of Computer Applications in Technologyhttps://www.inderscience.com/jhome.php?jcode=ijcatSCImago: https://cmu.to/CWHNk8 issues per yearISSN online: 1741-5047ISSN print: 0952-8091IJCAT is indexed in:Scopus (Elsevier)Compendex [formerly Ei] (Elsevier)Web of Science: Emerging Sources Citation Index (Clarivate Analytics)Academic OneFile (Gale)ACM Digital LibraryIJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.Topics covered includeComputer applications in engineering and technologyComputer control system designCAD/CAM, CAE, CIM and roboticsComputer applications in knowledge-based and expert systemsComputer applications in information technology and communicationComputer-integrated material processing (CIMP)Computer-aided learning (CAL)Computer modelling and simulationSynthetic approach for engineeringMan-machine interfaceSoftware engineering and managementManagement techniques and methodsHuman computer interactionReal-time systems

Chief Data and AI Officer Programmehttps://cmu.to/OG1O6 Join usProgramme OverviewNUS School of Computing has launched the Chief Data and AI Officer Programme to help you lead the data strategy and analytics agenda of your organisation. This programme will teach you the technologies, tools and methodologies to manage data as a strategic asset, generate actionable analytical insights, foster innovation and reach closer to tangible business benefits. Unlock enterprise data value, align strategy with business needs, and become a trusted business partner.Learning OutcomesEvaluate strategic implications and innovative value generation through proficient data managementAnalyse strategies for capitalising on data monetisationExplore innovation and emerging technologies in the domainExamine cyber risk through proficient application of data analytics and ethical considerations, resulting in effective management of risks and complianceEmpower the team through the acquisition of advanced leadership proficiencies in team management, negotiation, influence, and change managementWho is this programme for?Become a data strategist to drive tangible business valueSeasoned executives eager to champion AI strategies and leverage data as a key asset to spearhead sustainable and profitable growth.Senior professionals with a working knowledge of data management who want to foster innovation through the power of data, and AI to propel business expansion and assume CXO positions.Business leaders looking to explore latest opportunities to drive digital innovation and long-term strategic growth. Programme ModulesPillar 1: Data Foundations for Enterprise Value CreationPillar 2: Strategic Levers for Business GrowthPillar 3: Intelligent Technologies and Scalable AIPillar 4: Risk, Resilience and Responsible GovernancePillar 5: Transformational Leadership in the Age of AI

Programme OverviewPROGRAMME FEE: US$5,000STARTS ON: 31 March 2025DURATION: 20 weeks (4 - 6 Hours/ week)This new year, invest in a learning journey to upskill and gain a competitive edge. Emeritus is collaborating with NUS School of Computing to help you unlock transformative career growth. Enrol before 24 January 2025 using this code: APAC200ALL8364 and get USD200 programme fee benefit. Limited seats to success available. Claim yours now.Application fees: USD60Read more at https://cmu.to/A8Tt0With organisations and consumers being driven by technological innovations, such as Artificial Intelligence, Automation and Data Analytics, organisations are looking for professionals with a deep understanding of these innovations who can foster significant organisational impact. This is the time to boost your career. The NUS School of Computing Technology Leadership and Innovation Programme caters to individuals aspiring to drive strategic transformation in AI, digitalisation and innovation domains. Through the carefully curated modules and capstone project, you develop the requisite mindset and skills to implement impactful strategies using global technological innovations .Programme Modules (Module 1-18)Module 1: Overview of Digital TransformationModule 2: Digital Business ModelsModule 3: Strategy Formulation and Process of Digital TransformationModule 4: Digital Transformation Action PlanModule 5: Role of Data and AnalyticsModule 6: ML-Deep Learning and Neural NetworkModule 7: Robotics and Reinforcement Learning Module 8: Generative AIModule 9: AI and Business ApplicationModule 10: CybersecurityModule 11: Other Technologies: IoT, AR/VRModule 12: Innovation Strategy to Address Digital DisruptionModule 13: System Thinking and Agile MethodologiesModule 14: Implementing Digital InnovationModule 15: Building Team and Digital Culture for TransformationModule 16: Managing Digital Complexities and Change ManagementModule 17: Leading through ESG ChallengeModule 18: Technology and Innovation: Security and Governance

Call for ParticipationThe Online Training on UBC Mechanisms and Holistic Career ServicesSpeakers from EU partner in the INNO4Tourism Project University of Macedonia, Thessaloniki, GreeceWebsite: https://inno4tourism.euE-mail: cmu.inno4tourism@gmail.comTraining Programme OutlineModule 1 - UBC MechanismsModule 2 - Holistic Career ServicesModule 3 - Establishing UBC and Career Services: A Guide for HEIs On-siteChiang Mai University, Chiang Mai, ThailandOnlineZoom ID: <To be created by PSU or UOM>Passcode: <To be created by PSU or UOM> Place: Chiang Mai University, ThailandASTRA R&D Innovation & Consulting Hub 3rd floor, CAMT Building, College of Arts, Media and Technology, Chiang Mai University