Thanks to David Weil, Chief Information Officer, Ithaca Collega, Ithaca, New York
The Ethics of Superintelligent Design by Paul GolataCall Number: 006.3 (INTERNET)
ISBN: 1532632231
Publication Date: 2018-03-07
Artificial intelligence (AI) permeates Google searches, the personal assistants in our smartphones, and is all over our newsfeeds. Watson's machine learning has already started to revolutionize many important industries including oncology, law, finance, and entertainment. The idea that man is about to increase his immediate surroundings with exponential gains in the level of intelligence over the coming generations is based upon a technological revolution and the potential for artificial superintelligence (ASI). It is within this context that there is a prevailing need for a discussion of its ethical implications. As a Christian ethicist, Paul Golata believes that the need for this conversation to be informed by Christian principles is imperative. ASI is a move toward the proper handling of information. However, how a society interprets and applies this information is actually more pertinent than the raw amount of information it possesses. This important ethical conversation is being led by humanistic thinkers who assume that all of reality is just matter in motion and that mind is nothing more than electrochemical activity in the "wetware" of human brains. The Ethics of Superintelligent Design critically examines and challenges some of the most important trajectories of ASI while upholding the authority and inerrancy of the Bible, the supernatural creation account, a realistic view of the state of humanity, and biblical ethics.
The Prospect of a Humanitarian Artificial Intelligence by Carlos MontemayorCall Number: 006.3 (INTERNET)
ISBN: 9781350348370
Publication Date: 2023-02-23
In this open access book, Carlos Montemayor illuminates the development of artificial intelligence (AI) by examining our drive to live a dignified life. He uses the notions of agency and attention to consider our pursuit of what is important. His method shows how the best way to guarantee value alignment between humans and potentially intelligent machines is through attention routines that satisfy similar needs. Setting out a theoretical framework for AI Montemayor acknowledges its legal, moral, and political implications and takes into account how epistemic agency differs from moral agency. Through his insightful comparisons between human and animal intelligence, Montemayor makes it clear why adopting a need-based attention approach justifies a humanitarian framework. This is an urgent, timely argument for developing AI technologies based on international human rights agreements. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Carlos Montemayor and San Francisco State University.
Superintelligence by Nick BostromCall Number: 006.301 (INTERNET)
ISBN: 9780199678112
Publication Date: 2014-09-03
A New York Times bestseller Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. As the fate of the gorillas now depends more on humans than on the species itself, so would the fate of humankind depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed Artificial Intelligence, to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? This profoundly ambitious and original book breaks down a vast track of difficult intellectual terrain. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.
The Digitalised Image of God by Ximian XuCall Number: 233.5 (INTERNET)
ISBN: 9781032411958
Publication Date: 2024-11-01
"This book focuses on the idea of the imago Dei to engage theologically with artificial intelligence (AI). It reflects on how enormous progress in the development of AI has raised some challenges to Christian theology. Questions explored include: Is AI created in the imago Dei? If so, does AI challenge the uniqueness of the human being as the imago Dei? If not, could AI be incorporated into human communities as a human companion in the same way as a natural human person? Would AI eventually develop to have human-level consciousness and be capable of performing liturgies and ethical actions? Bringing to light the radical distinction between the imago Dei and the imago hominis, the book constructs a theo-ontological foundation for AI and draws on the Reformed theology of archetype-ectype as a metaphysical tool to deploy a holistic account of the imago Dei in theology-AI dialogues. The author argues that the imago Dei is the signifier of the beginning both of God-human stories and of stories of human ethical performances towards others. From the perspective of the image of the imago Dei, it can be argued that AI can somehow participate into the narration of these religious and ethical stories. The book will be of particular interest to scholars of theology and those working in the field of religion and science/technology"--
Generative AI and Education by B. Mairéad PratschkeCall Number: 371.334 (INTERNET)
ISBN: 3031679903
Publication Date: 2024-08-28
This volume addresses the gap in knowledge around generative AI and its applications in education. It draws on the recent history of technological innovation and digital pedagogies, locating generative AI in the contemporary discourse around education futures. It argues that a new hybrid model of education is emerging, requiring educational institutions to embed generative AI into course and programme design, delivery and assessment. It also proposes a shift from a focus on learning as output to learning as a process, and explores what that shift might look like. Grounded in educational theory, it offers actionable pedagogy-informed guidance on how to position AI as a collaborator in the construction of learning in a manner that is congruent with the values and aims of education. It offers advice based on evidence-based digital pedagogy, including frameworks for effective teaching and learning with generative AI, that enable educators and designers to put these ideas into practice. The book also explores the wider context informing this shift, connecting narratives from governments and industry leaders on the strategic importance of generative AI and lifelong learning, learning agility, and future skills that make the case for the integration of competency-based assessment into mainstream education. Finally, going beyond pedagogy and practice, it considers of some of the broader issues, including limitations and ethics, and the implications of integrating generative AI into institutional planning and design, and includes a sample roadmap for education leaders to start the process of integrating generative AI into their institutions. This work approaches the topic of generative AI from the vantage point of educators by addressing themes and concerns that will resonate with professionals in the sector.
Good places to start:
ChatGPT, K. M. and. (2022, December 7). How ChatGPT Could Transform Higher Education. Social Science Space.
Heilweil, R. (2023, January 5). What is generative AI, and why is it suddenly everywhere? Vox.
Huang, K. (2023, January 16). Alarmed by A.I. Chatbots, Universities Start Revamping How They Teach. The New York Times.
Kovanovic, V. (2022, December 15). The dawn of AI has come, and its implications for education couldn’t be more significant. The Conversation.
Schroeder, Ray. (2022, August 24). Higher Ed, Meet GPT-3: We Will Never Be the Same! Inside Higher Ed.
Schulten, K. (2023, January 25). Lesson Plan: Teaching and Learning in the Era of ChatGPT. The New York Times.
Wood, P., & Kelly, M. L. (2023, January 26). “Everybody is cheating”: Why this teacher has adopted an open ChatGPT policy. NPR.
James Wright, et al. (2021 December). Privacy, Agency and Trust in Human-AI Ecosystems: Interim Report (short version)
Other articles and examples:
aarohi. (2022, April 20). How GPT-3 is Affecting the Education Sector. The Education Outlook.
ChatGPT-4, the Fined Tuned Version of ChatGPT-3, Might Prompt a Major Shift. (2023, January 2). IBL News.
Dzieza, J. (2022, December 24). How Kindle novelists are using ChatGPT. The Verge.
Eadicicco, L. (2023, January 14). You’ll Be Seeing ChatGPT’s Influence Everywhere This Year. CNET.
Finnie-Ansley, J., Denny, P., Becker, B. A., Luxton-Reilly, A., & Prather, J. (2022). The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming. Proceedings of the 24th Australasian Computing Education Conference, 10–19. https://doi.org/10.1145/3511861.3511863
Forsyth, Ollie. (2022, December 20). Mapping the Generative AI landscape. Antler.
Geher, Glenn. (2023, January 6). ChatGPT, Artificial Intelligence, and the Future of Writing. Psychology Today.
Grant, N., & Metz, C. (2022, December 21). A New Chat Bot Is a ‘Code Red’ for Google’s Search Business. The New York Times.
Hern, A. (2022, December 31). AI-assisted plagiarism? ChatGPT bot says it has an answer for that. The Guardian.
Kim, S. (2023, January 7). How to Detect OpenAI’s ChatGPT Output. Geek Culture.
Marche, S. (2022, December 6). The College Essay Is Dead. The Atlantic.
Martin, Cheryl. (2022, November 21). AI is the future-is your school ready to teach it? ECampus News.
Mintz, Steven. (2022, December 16). AI Unleashed. Inside Higher Ed.
Mitchell, Alex. (2022a, December 26). Professor catches student cheating with ChatGPT: ‘I feel abject terror.’ New York Post.
Mitchell, Alex, V. A. (2022b, December 26). Students using ChatGPT to cheat, professor warns. New York Post.
Nolan, B. (2022, December 29). I asked ChatGPT to write my cover letters. 2 hiring managers said they would have given me an interview but the letters lacked personality. Business Insider.
Sharples, Mike. (2022, May 17). New AI tools that can write student essays require educators to rethink teaching and assessment. Impact of Social Sciences.
Truly, Alan. (2022, December 29). 5 amazing things people have done with ChatGPT. Digital Trends.
Yalalov, D. (2022, December 11). 100 Best ChatGPT Prompts to Unleash AI’s Potential. Metaverse Post.
veekaybee. (N.A.). Everything I understand about ChatGPT. GitHub Gist.
Wolfram, Stephen. (2023, January 9). Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT. Stephen Wolfram: Writings.
Xiang, C. (2023, January 6). A CompSci Student Built an App That Can Detect ChatGPT-Generated Text. Vice.