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- 1st Annual Report (Observatory of Algorithms with Social Impact) (OASI) (Eticas)
- 2022 State of AI Report (Appen)
- 2022 State of AI and Machine Learning Report (Appen)
- ACT-IAC White Paper: Ethical Application of AI Framework (ACT-IAC)
- AI, Algorithmic, and Automation Incidents and Controversies (AIAAIC)
- AI, Children’s Rights, & Wellbeing: Transnational Frameworks (ATI)
- AI, machine learning & big data laws and regulations 2022 (CMS Law-Now)
- AI-enabled suicide prediction tools: ethical considerations for medical leaders (D'Hotman et al. 2020. BMJ Leader - Commentary)
- AI & Equality Library (EQUINET Europe)
- AI Activity in UK Business Executive Summary (UK Government)
- AI Adoption Assessment Toolkit (Catapult Digital)
- AI Adoption in the UK: Putting AI into Action (techUK)
- AI Assurance Guide (CDEI)
- AI Barometer 2021(UK Government)
- AI Business School (Microsoft)
- AI Ethics: Global Perspectives (The Gov Lab)
- AI Ethics (IBM) (2021)
- AI Ethics and Governance in Practice (ATI)
- AI Index 2022 (Stanford HAI)
- AI Judicial Guidance (Courts and Tribunals Judiciary)
- AI Literacy Secondary Lesson Activities
- AI Localism (The GovLab)
- AI Regulation Guide (NHS England)
- AI Regulation using PICO (NHS England)
- AI Report 2022 - Patents at the EPO – a long-term trend analysis (Marks & Clerk)
- AI Risk Assessment Methodologies (Tri Lateral Research)
- AI Standards Hub
- AI and Education with the Goodison Group in Scotland (The Scottish Parliament)
- AI and Human Rights Report (All Tech Is Human)
- AI for Disability Inclusion (Accenture)
- AI in Financial Services (Alan Turing Institute)
- AI in PR guides (CIPR)
- AI in Practice Training Programme (The AI Summit London)
- AI in Society (Una Europa)
- AI risks for energy networks: challenges, management and regulation (Catapult)
- A Guide for Users and Creators (Better Images of AI)
- A Guide to Using Artificial Intelligence in the Public Sector (UK Government)
- A Parent and Carers Digital Careers Guide (SDS)
- A Resource for Users and Creators (Responsible AI UK)
- About
- Accelerated National Innovation Adoption Pathway (NHS Scotland)
- Action Toolkit On Inclusive AI (Women's Forum) (2021)
- Alan Turing Institute (ATI)
- Algorithimic Assessment Tools (Canadian Governent)
- Algorithmic impact assessment: a case study in healthcare (Ada Lovelace Institute)
- Article Naming Conventions
- Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities (US Government Accountability Office)
- Artificial Intelligence: An explainer (UK Parliament)
- Artificial Intelligence In Public Services (Equality and Human Rights Commission)
- Artificial Intelligence Incident Database
- Artificial Intelligence and Democratic Values - 2020 (Center for AI and Digital Policy)
- Artificial Intelligence at Jisc
- Artificial Intelligence in Healthcare
- Artificial intelligence for children
- Artificial intelligence for children (World Economic Forum)
- Artificial intelligence in the agri-food sector (European Parliament)
- Assessing AI (UK Government)
- Automation Bias and Procedural Fairness (BRAID)
- BSA Framework for Secure Software
- BS 30440 Validation Framework for the use of AI within Healthcare
- BS 62366 Medical Devices: Applicability of Usability Engineering to Medical Devices
- BS ISO/IEC 42001:2023 (BSI Group)
- Better Images of AI
- Bridging AI's Trust Gap (2020) (EY)
- BritainThinks: Complete transparency, complete simplicity (Centre for Data Ethics and Innovation)
- Building Trust in the Digital Era: Achieving Scotland's Aspirations as an Ethical Digital Nation (Scottish Government)
- CARE Principles for Indigenous Data Governance (Global Indigenous Data Alliance)
- CDEI portfolio of AI assurance techniques (Scottish Government)
- CONSORT-AI: Results Reporting Framework for AI in Interventional Trials
- Catalogue of Tools & Metrics for Trustworthy AI (OECD)
- Centre for Data Ethics & Innovation (CDEI)
- ChatGPT in Healthcare (AI4Healthcare)
- Child Rights by Design (Digital Futures Commission)
- Clinical Trials Routemap (NIHR)
- Closing Remarks State of AI Report 2021 2022
- Co-Creating a Better Tech Future (All Tech Is Human)
- Common Regulatory Capacity for AI (Alan Turing Institute)
- Community portal
- Creating 18 AI ideas to change the world (Innovate UK Bridge AI)
- CyberScotland
- Cyber Essentials (National Cyber Security Centre)
- Cyber Security Quiz (Virgin Media)
- DECIDE-AI: Reporting Framework for AI in Small Live Clinical Trials
- DRCF AI and Digital Hub
- Data Feminism (Book)
- Data Protection Harms (ICO)
- Data Protection Impact Assessments (ICO)
- Data for Children Ethical Frameworks (Data for Children collaborative)
- Deep Learning for Computer Vision (Stanford University)
- Digital Economy Skills and Careers Guide (SDS)
- Digital Health & Care Strategy (Scottish Government)
- Digital Scotland Service Standard (Scottish Government)
- Digital Technology Assessment Criteria (NHS England)
- Digital inclusion roadmap for Scotland (SCVO)
- EAIGG Annual Report
- Elements of AI (University of Helsinki)
- Empowering AI Leadership C Suite Toolkit (World Economic Forum)
- Enabling Responsible Access To Demographic Data To Make AI Systems Fairer (Scottish Government)
- Establishing a Pro-Innovation Approach to Regulating AI (UK Government)
- Estonian E-Gov Academy
- Ethical, social, and political challenges of artificial intelligence in health (Future Advocacy, 2018)
- Ethical AI Frameworks, Guidelines, Toolkits (AI Ethicist)
- Ethics for Open Source Development (The Linux Foundation)
- Ethics of AI (University of Helsinki)
- Ethics of Artificial Intelligence (SpringerLink)
- Ethics of artificial intelligence (UNESCO)
- European AI Alliance Assessment List Trustworthy AI
- Evidence Standards Framework for Digital Health Technologies (NICE)
- Experience AI (Google DeepMind, Raspberry Pi Foundation)
- Explaining Decisions Made with AI (ICO) (Alan Turing Institute)
- Explaining decisions made with AI (ICO and The Alan Turing Institute)
- Exploring artificial intelligence adoption in public organizations: a comparative case study
- FAIA Finland AI Playbook
- FinTech Scotland
- Fit for the Future: developing a post-school learning system to fuel economic transformation (Scottish Government)
- Foreword State of AI Report 2021 2022
- Funding Finder (The Data Lab)
- Gaining National Competitive Advantage through AI (PwC)
- Generative AI Framework for HMG (HTML) (UK Government)
- Get Involved
- GitHub topic: Artificial Intelligence
- Good Machine Learning Practice for Medical Device Development: Guiding Principles (MHRA)
- Good Machine Learning Practice for Medical Device Development: Guiding Principles (UK Government)
- Good Work Algorithmic Impact Assessment (IFOW)
- Google AI Course
- Governing AI for Humanity (United Nations)
- Guidance for Judical Offfice Holders (Courts and Tribunals Judiciary)
- Guidance on AI and Data Protection (ICO)
- Guide for Digital Services Developers: Using AI responsibly (Suomi.fi)
- Guide to Biometric Data in Scotland for Policing and Criminal Justice (Scottish Biometrics Commissioner)
- Guidelines for AI Procurement (UK Government)
- Health and social care: data strategy (Scottish Government)
- Healthcare Hub
- How can AI support diversity, equity and inclusion? (World Economic Forum)
- IET - The Institution of Engineering and Technology
- ISEE Interactive Toolbox
- ISO27001 - Information Security Management (ISO)
- Iframe test
- Information Security Risk Assessment Tool (NHS Scotland)
- Inside AI: an algorithmic adventure (UNESCO)
- Interpretable Machine Learning Handbook
- Intersectional AI Toolkit (IAI)
- Introduction to Deep Learning (MIT)
- Introduction to the Responsible Tech movement (All Tech is Human)
- JISC National AI Centre
- Kids Included (Report)
- Learn, Explore and Participate (LEAP) (Alan Turing Institute)
- Legal, ethical, and wider implications of suicide risk detection systems in social media platforms (Celedonia et al. 2021. Journal of Law and the Biosciences)
- MIT RAISE AI Hub
- Machine Learning with Graphs (Stanford University)
- Main Page
- Main page 1
- Making Artificial Intelligence and Machine Learning trustworthy and ethical (EY)
- Making Sense of Intelligence Automation in Local Authorities (University of Aberdeen)
- Managing AI Projects (UK Government)
- Mapping AI Governance (NESTA)
- Maturity Model artefacts
- Maturity Model artefacts (SEPA)
- Measuring trends in Artificial Intelligence (Stanford University HAI)
- Medical Devices : Software Application (MHRA)
- Meta-wiki-template
- Microsoft Responsible AI Standard v2 General Requirements
- Microsoft Responsible AI dashboard
- Missing links in AI governance (UNESCO)
- Model AI Governance Framework for Generative AI (AI Verify Foundation)
- Montreal AI Ethics Institute
- Moving From Idea to Practice (Open Data Policy Lab)
- Multi Agency Advisory Service
- Multistakeholder AI development: 10 building blocks for inclusive policy design
- Multistakeholder AI development: 10 building blocks for inclusive policy design (UNESCO and Innovation for Policy Foundation)
- New page
- New page with different title
- New privacy and AI laws in the US and the EU (Meitar - Law Offices)
- OECD Policy Observatory
- Overview of Data Protection Harms and the ICO’s Taxonomy (ICO)
- People Powered Results: reflections (NESTA)
- Policy briefing: Foundation models in the public sector (Ada Lovelace Institute)
- Policy guidance on AI for children
- Policy guidance on AI for children (UNICEF)
- Predicting through a cr (Validate AI)
- Preparing for AI Implementation (UK Government)
- Programme 10 Develop Data & Digital Infrastructure Requirements
- Programme 10 State of AI Report 2021 2022
- Programme 1 State of AI Report 2021 2022
- Programme 1 UVOD
- Programme 2 Scottish AI Playbook
- Programme 2 State of AI Report 2021 2022
- Programme 3 Develop AI Skills Plan
- Programme 3 State of AI Report 2021 2022
- Programme 4 Communications & Engagement
- Programme 4 State of AI Report 2021 2022
- Programme 5 Develop Ethical & Regulatory Frameworks for AI in Scotland
- Programme 5 State of AI Report 2021 2022
- Programme 6 Develop Support Plan for Businesses to Adopt AI in Scotland
- Programme 6 State of AI Report 2021 2022
- Programme 7 Develop AI Investment Plan
- Programme 7 State of AI Report 2021 2022
- Programme 8 Develop Public Sector Capacity for AI Adoption
- Programme 8 State of AI Report 2021 2022
- Programme 9 Develop Scotland's Approach to AI & Children
- Programme 9 State of AI Report 2021 2022
- Race & AI Toolkit (We & AI)
- Real-World Evidence Framework (NICE)
- Reframing Automation: a new model for anticipating risks and impacts (IFOW)
- Regulation & Compliance Hub
- Resource center
- Responsible Artificial Intelligence Institute Resource Library
- Responsible Tech Guide 2023 (All Tech is Human)
- Roadmap to an Effective AI Assurance Ecosystem (UK Government) (CDEI)
- SBAR (NHS)
- SPIRIT AI: Reporting Framework for AI in Interventional Trials
- STARD AI: Insilico and Shadow Evaluation of Diagnostic Test Accuracy
- Scotland's AI Strategy
- Scotland's Digital Strategy (Scottish Government)
- Scotland's Futures Forum
- Scotland's National Innovation Strategy (Scottish Government)
- Scottish AI Summit
- Scottish Approach to Service Design (Scottish Government)
- Scottish Capital Investment Manual (Scottish Government)
- Scrutinising the Use of Artificial Intelligence: A Toolkit (Scotland's Futures Forum)
- Shaping artificial intelligence for your future business needs (CIPD)
- Shaping society 5.0 (BSI Group)
- Short courses and Microcredentials by Financial Regulation Innovation Lab
- Skills Development Scotland (SDS)
- Soft ethics, the governance of the digital and the General Data Protection Regulation (Floridi, 2018. The Royal Society)
- State-by-State Artificial Intelligence Legislation Tracker (U.S. Chamber of Commerce)
- State of AI Trend Reporting
- State of the Sector: Data Maturity in the Nonprofit Sector 2023 (Data Orchard)
- SwissCognitive AI Investment Radar (SwissCognitive)
- TDL Skills Zone
- TRIPOD-AI and PROBAST-AI: Reporting Framework for AI in Pre-Clinical Assessments
- Tackling Climate Change with Machine Learning (Paper)
- Teach Data Literacy: a guide for primary teachers (Data Education)
- TechHer Creating opportunities for women to learn, connect and develop careers in technology.
- Tech Democracy Report (All Tech is Human)
- Technology and Innovation Report 2023 (UNCTAD)
- Test
- Test Page SAIA Colours
- The 15 Best AI Tools to Know
- The AI Navigator (SwissCognitive)
- The AI Threats to Climate Change (Report)
- The Alethia Framework (Rolls Royce)
- The Artificial Intelligence Report (Church of Scotland)
- The Children's Code (ICO)
- The Data Ethics Canvas 2021 (ODI)
- The Data Lab Skills Zone
- The EqualAI Framework (EqualAI)
- The Ethics of AI Business Practices: A Review of 47 AI Ethics Guidelines (Montreal AI Ethics Institute)
- The NIST Artificial Intelligence Risk Management Framework (US Government)
- The Roadmap to an Effective AI Assurance Ecosystem (UK Government )
- The Use of Artificial Intelligence in Health Care: Trustworthiness (ANSI/CTA-2090) (Consumer Technology Association (CTA))
- The draft of the EU AI Act, the proposed bill to regulate AI in the EU
- The impact of AI on UK jobs and training (UK Government)
- The impact of artificial intelligence on the doctor-patient relationship (Council of Europe)
- The strategic impacts of Intelligent Automation for knowledge and service work: An interdisciplinary review (The Journal of Strategic Information Systems, Coombs, Hislop, Taneva and Barnard) (2020)
- This is test page
- Towards Data Science (Library)
- Tracking Automated Government (TAG) Register (Public Law Project)
- Turing Commons (ATI)
- Understanding UK R&I Commercialisation and the Role of Standards
- Understanding healthcare workers’ confidence in AI (Part 1) (NHS Health Education England)
- Understanding the UK AI Labour Market Report 2020 (UK Government)
- What Artificial Intelligence Can Do for Workers and What Skilled Workers Can Do for the World (the Lisbon Council)
- What Is Biometrics? (Scottish Biometrics Commissioner)
- What is co-Creation (Interaction Design Foundation)
- White Paper 2019 (Validate AI)
- Wiki commons style page
- Wikimedia Commons
- Working and Organizing in the Age of the Learning Algorithm (Information and Organization, Faraj, Pachidi and Sayegh)(2018)