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Talking about Generative AI: A Guide for Educators

Author : Sidney I. Dobrin

Publisher : Broadview Press

Page : 37 pages

File Size : 37,42 MB

Release : 2023-05-25

Category : Computers

ISBN : 1554816505

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Book Description

A practical new resource, available freely to educators and administrators. Instructors and college administrators are grappling with many difficult questions arising from the emergence and public availability of generative AI (GenAI) tools such as ChatGPT: What impact will AI have on post-secondary institutions? Can AI be integrated into higher education in productive and ethical ways? How will teaching and assessment change? What are the implications of AI for professional, institutional, and civic communication? This free resources provides administrators and faculty with fundamental information about GenAI and its bearing on instruction and institutional policies. Eminently practical and informed by the latest (and forthcoming) technical developments, Talking about Generative AI will be a boon to anyone who is suddenly confronted with the problem of how to understand and address GenAI’s impacts.



Artificial Intelligence

Author : Melanie Mitchell

Publisher : Farrar, Straus and Giroux

Page : 216 pages

File Size : 38,58 MB

Release : 2019-10-15

Category : Computers

ISBN : 0374715238

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Book Description

“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable." –The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.



AI and education

Author : Miao, Fengchun

Publisher : UNESCO Publishing

Page : 50 pages

File Size : 22,20 MB

Release : 2021-04-08

Category : Political Science

ISBN : 9231004476

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Book Description

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]



How to Talk to Robots: a Girls' Guide to a Future Dominated by AI

Author : Tabitha Goldstaub

Publisher : Fourth Estate

Page : 256 pages

File Size : 31,48 MB

Release : 2021-08-04

Category :

ISBN : 9780008328238

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Book Description

'...an essential and fascinating manual for every woman who wants to understand equality within an ever-changing, modern world.' Scarlett Curtis '...[this book] taught me more than any book has ever taught me about AI.' Chris Evans, Virgin Radio How To Talk To Robots, is your girls guide to Artificial Intelligence. Entrepreneur Tabitha Goldstaub welcomes you into the AI world with a warm embrace. She brilliantly breaks down the tech-bro barriers offering a straightforward introduction and makes clear the enormous benefits of understanding AI.. If your social feed defines your spending habits or you've downloaded the latest filter to see what you'll look like when you are old or now connect with your doctor using an app, have applied for a job online or used your phone to arrive at work in record time, AI is playing a part in how you live, work and play. We live in an era where machines are taught to learn and act without human intervention and there are infinite possibilities to their applications. The risk of these technologies biasing against you is real, and this book will give you tools to navigate the current and future developments consciously. As well as explaining the risks Tabitha lays out the awesome benefits AI can offer. From spotting disease to tailoring education and tackling climate change the potential rewards are life-changing. Starting with a potted history, Tabitha shines a light on the many unsung heroines since the rise of AI in the 1960s. In conversation with Karen Hao she simply demonstrates how the technology works (and sometimes doesn't work!) and interviews a cross-section of women who use AI in their work today including Jeanette Winterson, Sharmadean Reid, Martha Lane Fox and Hannah Fry. This book doesn't just present the challenge; Tabitha offers supportive practical advice and shares an extensive list of books, films, courses and more for further exploration. However it is that you identify with womanhood, wherever you are in life, and whatever you do, this technology is inescapable and now is your time to make sure AI works for you - and not you for it!



A Little Guide for Teachers: Generative AI in the Classroom

Author : Laura Knight

Publisher : Sage Publications UK

Page : 64 pages

File Size : 12,28 MB

Release : 2024-11-01

Category : Education

ISBN : 1036201201

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Book Description

Generative AI has the potential to transform teaching by reducing workload, enhancing learning, and fostering creativity. It also poses significant challenges and raises important questions. This book is for teachers who want to know more about generative AI: how it works, the ethical questions it raises and what it can do for them and their students. The Little Guide for Teachers series is little in size but BIG on all the support and inspiration you need to navigate your day-to-day life as a teacher. *Authored by experts in the field *Easy to dip in-and-out of *Interactive activities encourage you to write into the book and make it your own *Read in an afternoon or take as long as you like with it!



Critical Digital Pedagogy

Author : Jesse Stommel

Publisher :

Page : 336 pages

File Size : 24,18 MB

Release : 2020-07-17

Category : Education

ISBN : 9780578725918

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Book Description

The work of teachers is not just to teach. We are also responsible for the basic needs of students. Helping students eat and live, and also helping them find the tools they need to reflect on the present moment. This is exactly in keeping with Paulo Freire's insistence that critical pedagogy be focused on helping students read their world; but more and more, we must together reckon with that world. Teaching must be an act of imagination, hope, and possibility. Education must be a practice done with hearts as much as heads, with hands as much as books. Care has to be at the center of this work.For the past ten years, Hybrid Pedagogy has worked to help craft a theory of teaching and learning in and around digital spaces, not by imagining what that work might look like, but by doing, asking after, changing, and doing again. Since 2011, Hybrid Pedagogy has published over 400 articles from more than 200 authors focused in and around the emerging field of critical digital pedagogy. A selection of those articles are gathered here. This is the first peer-reviewed publication centered on the theory and practice of critical digital pedagogy. The collection represents a wide cross-section of both academic and non-academic culture and features articles by women, Black people, indigenous people, Chicanx and Latinx writers, disabled people, queer people, and other underrepresented populations. The goal is to provide evidence for the extraordinary work being done by teachers, librarians, instructional designers, graduate students, technologists, and more - work which advances the study and the praxis of critical digital pedagogy.









Generative Deep Learning

Author : David Foster

Publisher : "O'Reilly Media, Inc."

Page : 301 pages

File Size : 30,2 MB

Release : 2019-06-28

Category : Computers

ISBN : 1492041890

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Book Description

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN