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Based on a series of popular courses and workshops that Professor Patrick Barry has created for students, professionals, and anyone else interested in taking a skills-based approach to artificial intelligence, this book gives you a chance to engage with important AI concepts, experiment with exploratory AI exercises, and then ultimately develop your own customized list of AI traps to try as well as AI traps to avoid.

A critique of what lies behind the use of data in contemporary education policy 
 

While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.

Algorithms of Education explores how, for policy makers, today’s ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to “synthetic governance”—a governance where what is human and machine becomes less clear—as a strategy for optimizing education.

Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields—from critical theory and media studies to science and technology studies and education policy studies—mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.

Through algorithms and artificial intelligence (AI), objects and digital services now demonstrate new skills they did not have before, right up to replacing human activity through pre-programming or by making their own decisions. As part of the internet of things, AI applications are already widely used today, for example in language processing, image recognition and the tracking and processing of data.

This policy brief illustrates the potential negative and positive impacts of AI and reviews related policy strategies adopted by the UK, US, EU, as well as Canada and China. Based on an ethical approach that considers the role of AI from a democratic perspective and considering the public interest, the authors make policy recommendations that help to strengthen the positive impact of AI and to mitigate its negative consequences.

This book explores the cultural and ethical implications of generative AI through the lens of Indigenous visual culture in Latin America. 

Responding to the rise of tools like DALL·E 2 and Midjourney, this groundbreaking volume documents the AIAI project (2023–), which invited a group of Indigenous artists and writers from Argentina, Bolivia, Brazil, Chile, and Peru to critically engage with image generation technologies. Through collaborative experimentation with a range of both commercial and bespoke tools, contributors reflect on the promises and pitfalls of AI—from its potential for ‘dreaming,’ for imagining Indigenous futures, to the frustration of its ability to ‘hallucinate,’ to distort, and misrepresent Indigenous cultures.

Bringing together artists, writers, and scholars, the book challenges dominant narratives around AI and representation, using a decolonial framework rooted in Indigenous epistemologies. Structured in three parts—context and theory, creative reflections, and generative critique—it foregrounds multivocal and multilingual perspectives, resisting homogenization and reframing participatory research. This is the first book-length study of generative AI’s impact on Indigenous visual culture in Latin America, making a timely and vital contribution to global debates on AI, art, and cultural sovereignty.