Ked-AI Research Digest

As technological change accelerates, there is an urgent need for supporting education systems in managing new opportunities and risks…

Generative and Other AI in Teaching, Learning and Assessment

The UCT AI in Education Framework offers guidance for the responsible and ethical use of artificial intelligence (AI) in teaching, learning, and assessment

To better understand the state of AI in education, Microsoft Education has conducted numerous studies and surveys and collaborated with academic institutions and organizations.

Generative artificial intelligence (AI) is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human productivity. However, a key remaining question is how generative AI affects learning, namely, how humans acquire new skills as they perform tasks.

Artificial intelligence (AI) is on the brink of transforming education across all levels, from pre-kindergarten through 12th grade (PreK-12) and higher education.

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.

The rapid digitalization of education and the development of generative artificial intelligence is reshaping education and learning. This report argues for a human-centred, rights-based approach that ensures innovations strengthen learning opportunities for all, rather than leaving anyone behind.

UNESCO’s AI competency framework for students – the first ever global framework of its kind. It aims to support the development of core competencies for students to become responsible and creative citizens, equipped to thrive in the AI era.

This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools)…

This working paper reviews the impact of artificial intelligence (AI) on equity and inclusion in education, focusing on learner-centred, teacher-led and other institutional AI tools…

Princeton’s head of computer science, Jennifer Rexford, explains how artificial intelligence is set to change not only what teachers teach, but how they teach.

Existing and emerging technologies can help save teacher time—time that could be redirected toward student learning. But to capture the potential, stakeholders need to address four imperatives.

Americans see a role for AI in some areas of society but want more control over its use. About half say it’ll erode creative thinking.

Artificial intelligence (AI) is reshaping economies, promising to generate productivity gains, improve efficiency and lower costs. It contributes to better lives and helps people make better predictions and more informed decisions.

At Stanford HAI, we believe AI is poised to be the most transformative technology of the 21st century. But its benefits won’t be evenly distributed unless we guide its development thoughtfully. The AI Index offers one of the most comprehensive, data-driven views of artificial intelligence.

What does the rise of artificial intelligence mean for humanity? That was the question at the core of “How is digital technology shaping the human soul?,” a panel discussion that drew experts from computer science to comparative literature last week.

Over the last decade, a rapid succession of impressive results has brought wider public attention to the possibilities of powerful artificial intelligence. In machine vision, researchers demonstrated systems that could recognize objects as well as, if not better than, humans in some situations.

Society is being transformed by artificial intelligence, and it is vital we ask what we need to do to maximise its value while minimising risk. To do this successfully, we must cut through the hype to develop practical, pragmatic approaches to AI that deliver what we need, and no more.

Generative AI is increasingly affecting our society. Our health and education systems, science, public administration and industrial ecosystems are progressively adopting this technology. A new JRC study provides policymakers with insights to address its risks and opportunities. 

With its unique mandate, UNESCO has led the international effort to ensure that science and technology develop with strong ethical guardrails for decades.

A guide to AI ethics, including responsible design and implementation of AI systems in the public sector. “A remarkable time of human promise has been ushered in by the convergence of the ever-expanding availability of big data, the soaring speed and stretch of cloud computing platforms, and the advancement of increasingly sophisticated machine learning algorithms…”

Generative Artificial Intelligence (AI) represents a groundbreaking development in the field of artificial intelligence. Unlike traditional AI, which focuses on recognising patterns and making predictions based on existing data, generative AI can create new content such as text, images, audio, and video that closely resembles human-generated content.

Ethics is a set of moral principles which help us discern between right and wrong. AI ethics is a multidisciplinary field that studies how to optimize the beneficial impact of artificial intelligence (AI) while reducing risks and adverse outcomes.

For decades, artificial intelligence, or AI, was the engine of high-level STEM research. Most consumers became aware of the technology’s power and potential through internet platforms like Google and Facebook, and retailer Amazon. Today, AI is essential across a vast array of industries, including health care, banking, retail, and manufacturing.

Algorithms and humans both contribute to bias in AI, but AI may also hold the power to correct or reverse inequities among humans.