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HBO/WO

MBO

17 februari 2025

Libguide Artificial Intelligence

AI (Artificial Intelligence) is technology that enables computers and machines to simulate human intelligence. As a result, AI can execute certain tasks that are usually done by people. Based on data, algorithms and statistical models, computers and machines can recognise patterns and make predictions. This kind of AI is called predictive AI. This libguide focuses on the use of AI by students. The libguides covers four topics: What is AI?; Responsible Use; AI-Tools and Prompting.

Website

Universiteitsbibliotheek Utrecht

23 augustus 2023

Lecture: Generalizability and Artificial General Intelligence (AGI)

Limitations of currrent AI approaches Definition of Artificial General Intelligence (AGI) Capabilities & core requirements of AGI How can we test for AGI? How far away is AGI and what are the benefits and risks? Update test

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HCAIM Consortium

2024

Artificial Intelligence and Librarianship

Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. The third edition has changes and additions. These include: a new Chapter 6 on evaluation and the future new materials in Chapter 5 on current large language and multimodal models scattered revisions, corrections, and updates. Chapter 1: Intellectual Background Chapter 2: Chatbots Chapter 3: Language Models Chapter 4: Large Language Models Chapter 5: Large Multimodal Models Chapter 6: Evaluation and the Future Chapter 7: Bias and Unfairness Chapter 8: Bias in Machine Learning and Librarianship Chapter 9: What Might Natural Language Processing (NLP) Bring to Librarianship? Chapter 10: What are the Opportunities for Librarians? Chapter 11: Librarians as Synergists Chapter 12: Librarians as Sentries Chapter 13: Librarians as Educators Chapter 14: Librarians as Managers Chapter 15: Librarians as Astronauts Appendix A: Some Theoretical Background to Librarianship Appendix B: Working with LLMS Appendix C: Two Important Methodological Points Appendix D: Causal Diagrams Appendix E: Knowledge Graphs Glossary Bibliography ISBN 13: 9780473722944

Open (Access) Tekst Boek

Martin Frické

25 november 2016

03. How is artificial intelligence developing?

Video about the question 'How is artificial intelligence developing?' You have probably heard of the terms big data and artificial intelligence. And perhaps you have heard of machine learning or even deep learning. Where do these terms stand for and how are they related?

Video

Karel van der Toorn, Esther Quaedackers

2024

Artificial Intelligence and Education

The book discusses the impact of artificial intelligence (AI) on education, exploring both the opportunities and challenges it brings. It aims to provide a comprehensive understanding of how AI is reshaping the educational environment, from personalized learning experiences and intelligent tutoring systems to administrative efficiencies and ethical considerations. The book also addresses the implications of AI on traditional educational models and the broader societal context, sparking a dialogue about AI’s potential for enhancing learning outcomes and preparing students for an AI-driven world. Overall, it aims to inspire innovation and critical thinking in the field of education. ISBN 9780854667819, 9780854667826, 9780854667833

Open (Access) Tekst Boek

Seifedine Kadry

25 november 2016

04. How will artificial intelligence influence your future?

Video about the question 'How will artificial intelligence influence your future?' Artificial intelligence is going to impact our world at an accelerating rate. Smart algorithms will start replacing mental labor. Which sectors of industry and government will be affected in the next decade?

Video

Max Welling, Esther Quaedackers

21 mei 2025

AI special with Pim Haselager (part 2) | In a Nutshell

AI seems to have come to stay, but what does the future of artificial intelligence hold? And why is it perhaps one of the most penetrating technologies since the development of language? In the second part of the AI special, we take a look at the future of AI. Together with Pim Haselager, Antonia talks about how AI might change as a technology – and how humans will likely too. Will reading lose its importance? Can (and should) you generate ideas with the help of artificial intelligence? And how is AI changing the relationship we have to ourselves? Pim Haselager is a professor of artificial intelligence and a principal investigator at the Donder’s Institute for Brain, Cognition and Behaviour. This episode is part of a two-part special on Artificial Intelligence. Make sure to also have a look at the first episode of the series about the past and present of AI – and the next Vox magazine on Artificial Intelligence, featuring an interview with Pim Haselager. Edit: Jara Majerus Cover: Antonia Leise

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Jara Majerus, Antonia Leise, Pim Haselager

2024

Multidisciplinary Perspectives on Artificial Intelligence and the Law

This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law. EU AI Regulation: The book critically examines the proposed EU AI Act, Digital Services Act, and Digital Markets Act, analyzing how they shape the governance of AI in Europe. Ethics and Human Rights: Several chapters explore how AI intersects with fundamental rights, democracy, and human dignity, particularly in the context of EU Charter rights. Transparency and Explainability: It discusses the need for AI systems to be transparent, interpretable, and subject to legal accountability, including issues like algorithmic bias and decision-making. Legal Theory and Enforcement: Legal scholars dissect the limits of current legal concepts (e.g., liability, personhood, intent) when applied to AI systems. The challenges of regulatory enforcement and jurisdiction are also addressed. AI and Sector-Specific Law: The volume includes deep dives into AI in finance, healthcare, and data governance, emphasizing the EU’s risk-based regulatory strategy. Global Perspectives, EU Focus: While international viewpoints are included, the European Union’s legal framework serves as the book’s backbone. ISBN 9783031412646 9783031412639

Open (Access) Tekst Boek

Sousa Antunes Henrique, Pedro Miguel Freitas, Arlindo L Oliveira, Elsa Vaz de Sequeira, Clara Martins Pereira, Luis Barreto Xavier

16 april 2025

AI special with Pim Haselager (part 1) | In a Nutshell

Where did AI come from? How is it changing society? And why do we need a European approach to Artificial Intelligence? In today’s episode, we are tackling the most discussed topic in recent weeks: Artificial Intelligence. Whether people are remaking The Lord of the Rings entirely in the style of Studio Ghibli, power self-driving cars or ask ChatGPT to write their uni assignments, AI seems to be everywhere. But where did it come from? And how is it affecting society right now? Together with professor of Artificial Intelligence and principal investigator at the Donders Institute Pim Haselager, Antonia talks about the power and the dangers of AI, what human rights respecting AI can look like – and why universities have a more important role to play than they might think. This episode is part of a two-part special on Artificial Intelligence. Stay tuned for the second part, where we talk about the future of AI – and the next Vox magazine on Artificial Intelligence, featuring an interview with Pim Haselager. Edit: Jara Majerus Cover: Antonia Leise

Audio

Jara Majerus, Antonia Leise, Pim Haselager

30 september 2024

Reclaiming Our Humanity in Times of AI | Radboud Reflects Lecture by Philosopher Shannon Vallor

Artificial Intelligence is in many ways a reflection of ourselves, for better or for worse. When we feed AI-algorithms with imperfect or biased data, they inevitably feed our faults back to us. But can AI also be used to boost humanity’s greatest strengths? Come listen to philosopher Shannon Vallor and see AI in a new light. Reclaiming Our Humanity in Times of AI | Lecture and conversation with philosopher Shannon Vallor Monday 30 September 2024 | 20.00 – 21.30 hrs | LUX, Nijmegen Radboud Reflects, Radboud Centre Social Sciences, SIAC, School of Artificial Intelligence and Workgroup The Human Factor in New Technologies

Audio

Roman Krznaric, Charley Boerman