Energy management involves the planning and operation of energy production, consumption, distribution and storage, with objectives including resource conservation, climate protection and cost savings. Growth in renewable energy - essential for the transition to a decarbonised energy system - adds the challenge of intermittency, making energy management all the more important.

The healthcare sphere is becoming more interconnected, intelligent and data driven. The management of healthcare data - and developments in the devices, technologies and systems used to obtain, interpret, store and access it - is a key theme for many researchers in healthcare and technology fields. Sensors and IoT devices are increasingly used to obtain better information about patients' health, machine learning and numerical optimization techniques are being deployed in interpreting medical information, and secure healthcare records and telemedicine approaches are needed to enable clinicians and patients to access data remotely. All these technological advances fall under the umbrella term of Healthcare 4.0.

Artificial Humanities explores how literature, history, and art can deepen our understanding of artificial intelligence and its development. By examining fictional representations of AI in parallel with actual technological developments, Nina Beguš presents a novel interdisciplinary framework for understanding the cultural, philosophical, and ethical dimensions of AI. She traces connections from Eliza Doolittle to ELIZA the chatbot and current language models, incorporates Slavic fictional examples from the Pygmalion paradigm, and compares mid-century science fiction and recent Hollywood films with contemporary developments in social robotics and virtual beings.

Highlighting the impact of human-like AI design, from gendered virtual assistants to romanticized social robots, the book shows how these technologies intersect with longstanding humanistic questions about the concepts of creativity and language as well as the relations between humans and machines. Additionally, the book explores AI’s applications in medical fields, particularly psychiatry and neurotechnology, including how AI interacts with the human body and mind to address conditions like paralysis. By emphasizing the philosophical and cultural implications of these technologies, Beguš highlights the need for responsible innovation that prioritizes human well-being as well as machine potential outside of human imitation. Accessible and thought-provoking, Artificial Humanities offers tools for analyzing and assessing technologies while they are being developed and invites readers to see how the humanities can guide us toward a more thoughtful future for AI.

Artificial Intelligence, Real Teaching provides an accessible overview of AI and its uses so English language teachers across the globe can feel confident joining conversations about AI and integrating it into their practice. Grounded in current understanding of second language acquisition theory, translanguaging, and the science of learning, as well as the first-hand AI-integration experiences of the authors, this book offers teachers time-saving and personalized backend strategies for curriculum development, lesson planning, scaffolding, and assessment. Through inclusive front-end strategies for use with students in class and “make it your own” exercises, readers are encouraged to adapt AI enhancements to their particular teaching contexts and to reflect on the benefits and challenges of ethical AI integration. In short, this book serves as a teacher’s AI toolkit, offering English language teachers detailed resources to continue engaging with AI. Artificial Intelligence, Real Teaching sets the stage for teachers to innovate their practices with productive AI enhancements while continuing to center human interaction in language education amid the changing landscape of an AI-rich world.

A new theory of mind that includes nonhuman and artificial intelligences.
 
The much-lauded superiority of human intelligence has not prevented us from driving the planet into ecological disaster. For N. Katherine Hayles, the climate crisis demands that we rethink basic assumptions about human and nonhuman intelligences. In Bacteria to AI, Hayles develops a new theory of mind—what she calls an integrated cognitive framework (ICF)—that includes the meaning-making practices of lifeforms from bacteria to plants, animals, humans, and some forms of artificial intelligence. Through a sweeping survey of evolutionary biology, computer science, and contemporary literature, Hayles insists that another way of life, with ICF at its core, is not only possible but necessary to safeguard our planet’s future

“A brilliant travel guide to the coming world of AI.”
—Jeanette Winterson

What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative?

Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code.

“As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?…In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.”
—Financial Times

“Fascinating…If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.”
—The Times

Critical Making in the Age of AI invites students, teachers, learners, and digital humanists to explore making as scholarship. Inspired by the craft traditions of textile arts, this book combines a survey of forms of alternative scholarly communication—such as comics, GIFs, maps, games, and generative AI—and a pattern book, where patterns serve as starting points that makers can reimagine and remix. Firmly grounded in the humanities and utilizing free tools and platforms (including Twine, Voyant, and Tracery) wherever possible, this engaging and accessible guide to digital methods introduces and puts into practice concepts that are essential to preparing students to navigate a changing landscape of media and information without investing in proprietary software, dedicated lab space, or expensive creative tools.

The book’s eight patterns are especially appropriate for those just beginning to explore digital scholarly methods, and one goal of Critical Making in the Age of AI is to provide structure for work that is both meaningful and achievable with limited resources and time. By centering critical making through a design-justice and feminist lens, the coauthors model how inclusive and expansive approaches to making in research and teaching are vital to shaping the humanities of the future.

Why AI offers a chance for the humanities to strengthen their relevance and significance

If humanistic research consists of the generation of consensus positions, simple expression, summarized texts, or passable translations, then we have arrived at the place where AI is able to accomplish these different missions to a convincing degree. However, Laurent Dubreuil argues, such tasks do not, in any way, constitute the humanities. On the contrary, he posits, a maximalist take on scholarship would not focus on generation but on creation, as a subject and as an object. Dubreuil seizes the opportunity of what AI reveals about the meaning of humanistic inquiry to offer a path for the renewal of the humanities on transhistorical, transcultural, and transdisciplinary grounds.

How data and artificial intelligence create a new, abstract digital subject

Ideal Subjects examines how samples of our lives and daily behaviors have come to reside in the world of data and artificial intelligence—and what this means for who we are and what we may become. Detailing how AI-facilitated algorithmic prediction and data modeling make “ideal subjects” of us, Olga Goriunova explores the complex ways we relate to these digital abstractions.

 

As more and more of our experience is funneled through computational records and models, datafied aspects of our lives are segmented and reconfigured to operate as new entities. Rather than viewing these abstract assemblages as extensions of our selves, Goriunova encourages us to consider these products of computational processes as an entirely new kind of subject, one that is both more and less than a human.

 

Through close readings of contemporary digital practices and data analytics, Goriunova exposes the profound ethical, aesthetic, and political implications of producing and managing these new digital subjects. Highlighting the distinctive impact of computation on contemporary subject formation while placing the present within a history of shifting conceptions of the subject, she gives us much-needed tools for understanding how our intimate selves are rendered by the abstract entities of big data. Ideal Subjects presents an uncanny and deeply fascinating portrait of modern subjectivity in the technological age.

 

 

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Winner of the 2020 Joseph L. Andrews Legal Literature Award by the American Association of Law Libraries (AALL)

Futurists predict that in the next ten years the profession of “lawyer” will splinter into job titles like “legal process analyst” or “legal knowledge engineer.” And some in the field are already taking a proactive approach ⁠— in fact, more than two dozen law schools have developed innovation centers to explore artificial intelligence (AI) and the law. In a competitive marketplace, both firms and individuals need to familiarize themselves with the dazzling array of new products and enhanced features capable of improving efficiency. Written by leading practitioners and visionaries like Robert Ambrogi, this groundbreaking survey of current practices and future trends offers an incisive examination of the evolving roles for law librarians. Readers will learn how AI technology is changing law school curricula, lawyer practice, marketing, and other key aspects of the field through coverage of such topics as

• the benefits of AI to law librarianship, including areas like legal research, contract review, compliance, and administration, and their associated risks;
• four professional ethics rules that apply to the use or (non-use) of AI;
• how lawyers and staff work side by side with AI, utilizing intelligence like RAVN ACE or FastCase to attack the drudgery of due diligence and document review;
• surprising machine-learning insights from tokenizing, stemming, and lemmatizing the text of Shakespeare’s plays;
• the potential for chatbots and new natural language processing products to improve access to justice; and
• ways to develop sought-after skills through new technology departments, practice management groups, and legal innovation labs.

Reading this collection will give you a firm grasp of the innovations, tools, benefits, and risks of AI in law librarianship.

Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)?

Librarians are uniquely positioned to rise to the challenge that artificial intelligence (AI) presents to the field. Libraries and their like have existed for millennia; they progress with society, altering and adapting their services to meet the information needs of their communities.

The Rise of AI collects projects, collaborations, and future uses from academic librarians who have begun to embrace AI in their work. In three parts—User Services, Collections and Discovery, and Toward Future Applications—it explores:

• machine translation
• creating incubation spaces
• robotics
• combining information literacy initiatives with AI literacy
• fostering partnerships with other on-campus groups
• integrating AI technology into collections to enhance discoverability
• using AI to refine metadata for images, articles, and theses
• machine learning

 
The Rise of AI introduces implications and applications of artificial intelligence in academic libraries and hopes to provoke conversations and inspire new ways of engaging with the technology. As the discussion surrounding ethics, bias, and privacy in AI continues to grow, librarians will be called to make informed decisions and position themselves as leaders in this discourse.