Artificial Intelligence: Guidance & Legislation

This Strategy sets out how Ireland can be an international leader in using AI to benefit our economy and society, through a people-centred, ethical approach to its development, adoption and use.

This document sets out some guidelines and issues for consideration for public sector organisations when considering the use of AI tools.

These Generative Artificial Intelligence (GenAI) Guidelines for Educators have been developed by a National Academic Integrity Network (NAIN) Working Group, as a response to the swiftly evolving and developing field of GenAI and the challenges that it may pose for academic integrity to educators and their students.

Research integrity relates to the performance of research to the highest standards of professionalism and rigour, and to the accuracy and integrity of the research record in publications and elsewhere. It is essential that the Irish research system as a whole protects its reputation for the quality and integrity of its research activity and outputs, in order that we and our international partners may rely on those outputs to promote economic and social development and growth.

[These] ‘ten considerations for generative AI adoption’ outline key issues identified through dialogue with stakeholders across Ireland’s higher education sector, industry, and associated agencies between September and December 2024. They serve as a starting point for academics, researchers, support staff, students, and senior leaders in shaping institutional policies and practices around generative AI.

The AI Act (Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence)is the first-ever comprehensive legal framework on AI worldwide. The aim of the rules is to foster trustworthy AI in Europe.

This Communication outlines a set of bold actions to achieve that goal. AI has just begun to be adopted in the key sectors of our economy, helping to tackle some of the most pressing challenges of our times. While the full impact of this transformational shift is still unfolding, Europe must act with ambition, speed and foresight to shape the future of AI in a way that enhances our competitiveness, safeguards and advances our democratic values and protects our cultural diversity.

The European AI Office is the centre of AI expertise across the EU. It plays a key role in implementing the AI Act - especially for general-purpose AI - fostering the development and use of trustworthy AI, and international cooperation.

The EU’s approach to artificial intelligence centers on excellence and trust, aiming to boost research and industrial capacity while ensuring safety and fundamental rights.

The European Code of Conduct for Research Integrity serves the European research community as a framework for self-regulation across all scientific and scholarly disciplines and for all research settings.

The European Network for Academic Integrity is an association gathering educational institutions and individuals interested in maintaining and promoting academic integrity.

The EDPS has published its Orientations on “generative Artificial Intelligence and personal data protection” to provide EU institutions, bodies, offices and agencies with practical advice and instructions on the processing of personal data when using generative AI systems, to facilitate their compliance with the requirements of the data protection legal framework.

Artificial Intelligence is transforming every stage of the research process across scientific disciplines. Generative AI tools, like ChatGPT, are powerful technologies that can facilitate scientific work and accelerate discovery, when used in the right way. The European Commission, countries and research and innovation stakeholders of the European Research Area have collaboratively developed a set of recommendations to support the responsible integration of generative AI in research.

These guidelines intend to set out common directions on the responsible use of generative AI. They have to be considered as a supporting tool for research funding bodies, research organisations and researchers, including the ones applying to the European Framework Programme for Research and Innovation.

The first two sections of the draft Code detail transparency and copyright obligations for all providers of general-purpose AI models, with notable exemptions from the transparency obligations for providers of certain open-source models in line with the AI Act. Related to transparency, Chairs have included a user-friendly Model Documentation Form which allows signatories to easily document the necessary information in a single place. The section on copyright contains core measures from the second draft but in a simplified and clearer form.

The Africa Declaration on AI, signed by representatives from across the continent, establishes commitments to develop AI education programs, create frameworks for African data sets, build regional data centers, and set up innovation hubs to support African-led initiatives.

This site is a resource for students, built by students, to provide ways you can use generative artificial intelligence productively and responsibly as part of your learning journey in university.

The AI and Democratic Values Index is a comprehensive review of AI policies and practices worldwide. Prepared by the Research Group of the Center for AI and Digital Policy, AIDV provides the basis to compare national AI policies, to assess progress, and to identify emerging trends.

The AI Playbook will support the public sector in better understanding what AI can and cannot do, and how to mitigate the risks it brings. It will help ensure that AI technologies are deployed in responsible and beneficial ways, safeguarding the security, wellbeing, and trust of the public we serve.

This Guide supplements the ASEAN Guide on AI Governance and Ethics (2024), which focuses on traditional AI technologies, with policy considerations related to generative AI (Gen AI). It provides a view of the opportunities and risks of Gen AI and recommends a range of policy recommendations for ASEAN to support its responsible adoption

Artificial intelligence (AI) is increasingly applied across all sectors utilizing information technology and is expected to be one of the main economic drivers. A consequence of this trend is that certain applications can give rise to societal challenges over the coming years.

UNESCO’s first global guidance on GenAI in education aims to support countries to implement immediate actions, plan long-term policies and develop human capacity to ensure a human-centred vision of these new technologies.

This Recommendation addresses ethical issues related to the domain of Artificial Intelligence to the extent that they are within UNESCO's mandate. It approaches AI ethics as systematic normative reflection, based on a holistic, comprehensive, multicultural and evolving framework of interdependent values, principles and actions that can guide societies in dealing responsibly with the known andunknown impacts of AI technologies on human beings, societies and the environment and ecosystems, and offers them a basis to accept or reject AI technologies. It considers ethics as a dynamic basis for the normative evaluation and guidance of AI technologies, referring to human dignity, well-being and the prevention of harm as a compass and as rooted in the ethics of science and technology.

The deployment of advanced Artificial Intelligence (AI) models, particularly generative AI, has sparked discussions regarding the creation and use of synthetic content - i.e. AI-generated or modified outputs, including text, images, sounds, and combinations thereof - and its impact on individuals, societies, and economies. This article explores the different ways in which synthetic content can be generated and used and proposes a taxonomy that encompasses synthetic media and deepfakes, among others