EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies - The AI Act


Book Description

Artificial Intelligence (AI) can benefit our society and economy, but also brings with it new challenges and raises legal and ethical questions. According to the author of this comprehensive analysis, it is imperative to ensure that AI is developed and applied in an appropriate legal and regulatory framework that promotes innovation and investment and, at the same time, addresses the risks associated with certain uses of AI-related technologies. Essential to understanding the relationship between policy and law, this book traces the evolution of EU policy on artificial intelligence and robotics, focusing in particular on the EU’s ethical framework for AI, which defines trust as a prerequisite for ensuring a human-centric approach. The main part of the book provides a thorough and systematic analysis of the Commission’s 2021 proposed AI Act, which establishes harmonised rules for the development, placement on the market and use of AI systems in the EU. The author painstakingly compares the Commission’s proposed AI Act with the numerous “compromise” proposals of the Council of the European Union, leading to the final version of the Council’s AI Act (general approach) and its formal adoption on 6 December 2022. The author also examines with extraordinary detail the amendments proposed by the relevant committees and political groups of the European Parliament, revealing the position the Parliament is likely to adopt in the forthcoming negotiations with the Commission and the Council on the text of the AI Act. Numerous legislative and policy documents are presented in detail, while the analysis also considers the comments made by all interested parties (e.g. the European Commission, Council of the European Union, European Parliament, governmental organisations, national competent authorities, and stakeholders/actors with different/conflicting interests, such as corporations, business and consumer associations, civil society and other non-profit organisations). In the course of its in-depth analysis, this book will provide readers with crucial insight into the reasons behind the European Institutions’ different approaches and the often contradictory interests of stakeholders. Because the policy arguments are carefully balanced and drafted with scrupulous care, this volume will establish itself as a reference resource to be consulted for years to come.




ChatGPT in the Classroom for Harnessing AI to Revolutionize Higher Education in Colleges and Universities


Book Description

Unlock the Power of AI in Education Are you ready to revolutionize your learning experience? In a world where Artificial Intelligence (AI) is rapidly transforming various aspects of our lives, the realm of education is no exception. Discover the untapped potential of ChatGPT, an advanced language model, and learn how to harness its power to elevate your educational journey. This comprehensive guide is your key to unlocking the future of learning. Enhance Research and Academic Writing Ever struggled with writer's block or finding the right resources for your research? ChatGPT can help you overcome these challenges and more. With its ability to generate human-like text, this AI-powered tool can assist you in crafting compelling essays, research papers, and other academic materials. Foster Interdisciplinary Collaboration Break down barriers and foster collaboration across different fields with ChatGPT. This versatile language model can help you bridge gaps, facilitate communication, and generate innovative ideas by understanding and translating complex concepts from various disciplines. Personalize Learning and Adaptive Assessments Tailor your learning experience to your unique needs and preferences with ChatGPT. This AI-powered tool can help create personalized learning paths and adaptive assessments, ensuring that you get the most out of your educational journey. Hands-On Experience with Hundreds of Example Prompts This book includes hundreds of meticulously designed example prompts, allowing you to explore the full range of ChatGPT's capabilities. Adapt these prompts to your specific context and gain hands-on experience in using this powerful language model to tackle real-world challenges. Ethical Considerations and Future-Proof Strategies Stay informed about the ethical implications of using AI in education and learn strategies for overcoming resistance to change. This book also offers insights into emerging AI technologies and their potential impact on educational spaces and learning environments, ensuring that you are well-prepared for the future. Don't miss out on this opportunity to revolutionize your learning experience. Dive into the pages of this comprehensive guide and discover the transformative potential of ChatGPT in education. Together, let's shape the future of learning.




Exploring Youth Studies in the Age of AI


Book Description

In an era defined by the relentless march of technology, the seamless integration of Artificial Intelligence (AI) into our daily lives has ushered in a transformative landscape. At the forefront of this evolution are the Digital Natives of Generation AI, navigating the complexities of a digital world where algorithms are integral to their daily experiences. This juncture presents a dual influence, marked by the continuous progression of technological advancements and the dynamic ways the youngest members of our society engage with and adapt to the digital environment. As we stand at the crossroads of youth studies and AI, there arises a pressing need to comprehend the profound impact of this convergence on the future leaders of our world. Addressing this imperative, Exploring Youth Studies in the Age of AI emerges as a comprehensive solution to unravel the complexities and opportunities within this evolving landscape. This book, meticulously crafted for academics, researchers, educators, policymakers, and technology ethicists, serves as a guiding beacon in understanding how AI shapes the experiences of today's youth and, in turn, how youth culture influences the development and application of AI technologies. With a collection of enlightening chapters covering topics from "Data-Driven Pedagogies" to "Ethical AI: Guiding Principles for Youth-Centric Development," the book delves deep into the diverse dimensions of this intersection, providing actionable insights and fostering a nuanced understanding for those invested in the ethical, social, and educational implications of AI within the context of youth.




The Assessment List for Trustworthy Artificial Intelligence (ALTAI)


Book Description

On the 17 of July 2020, the High-Level Expert Group on Artificial Intelligence (AI HLEG) presented their final Assessment List for Trustworthy Artificial Intelligence. Following a piloting process where over 350 stakeholders participated, an earlier prototype of the list was revised and translated into a tool to support AI developers and deployers in developing Trustworthy AI. The tool supports the actionability the key requirements outlined by the Ethics Guidelines for Trustworthy Artificial Intelligence (AI), presented by the High-Level Expert Group on AI (AI HLEG) presented to the European Commission, in April 2019. The Ethics Guidelines introduced the concept of Trustworthy AI, based on seven key requirements: human agency and oversight technical robustness and safety privacy and data governance transparency diversity, non-discrimination and fairness environmental and societal well-being and accountability Through the Assessment List for Trustworthy AI (ALTAI), AI principles are translated into an accessible and dynamic checklist that guides developers and deployers of AI in implementing such principles in practice. ALTAI will help to ensure that users benefit from AI without being exposed to unnecessary risks by indicating a set of concrete steps for self-assessment. Download the Assessment List for Trustworthy Artificial Intelligence (ALTAI) (.pdf) The ALTAI is also available in a web-based tool version. More on the ALTAI web-based tool: https://futurium.ec.europa.eu/en/european-ai-alliance/pages/altai-assessment-list-trustworthy-artificial-intelligence




Privacy and Identity Management. Data for Better Living: AI and Privacy


Book Description

This book contains selected papers presented at the 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Windisch, Switzerland, in August 2019. The 22 full papers included in this volume were carefully reviewed and selected from 31 submissions. Also included are reviewed papers summarizing the results of workshops and tutorials that were held at the Summer School as well as papers contributed by several of the invited speakers. The papers combine interdisciplinary approaches to bring together a host of perspectives, which are reflected in the topical sections: language and privacy; law, ethics and AI; biometrics and privacy; tools supporting data protection compliance; privacy classification and security assessment; privacy enhancing technologies in specific contexts. The chapters "What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking" and "Privacy Implications of Voice and Speech Analysis - Information Disclosure by Inference" are open access under a CC BY 4.0 license at link.springer.com.







Academic Integrity in the Age of Artificial Intelligence


Book Description

Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.




AI in Education: A step-by-step Guide for Teachers and Students


Book Description

AI in Education: A Step-by-Step Guide for Teachers and Students is an essential resource for educators and students seeking to understand and implement artificial intelligence (AI) in modern educational settings. This book provides a comprehensive exploration of AI concepts, including machine learning, neural networks, and deep learning, and their practical applications in the classroom. Designed with both teachers and learners in mind, the guide covers a wide range of topics: Fundamentals of AI: An introduction to AI, its subfields, and real-world applications that enhance educational experiences. AI-Powered Tools: Step-by-step guidance on using AI tools such as generative AI, image recognition, and personalized learning platforms. Ethical Considerations: A thoughtful examination of the ethical implications of AI in education, focusing on fairness, transparency, and privacy. Hands-on Exercises: Practical activities and scenario-based examples that help educators and students apply AI in teaching and learning environments. Future Trends: Insights into the future of AI in education, from AI-driven lesson planning to adaptive learning technologies. Whether you're an educator looking to enrich your teaching methods or a student eager to explore AI’s potential, this book offers the tools, techniques, and knowledge needed to navigate the evolving landscape of AI in education.




Teaching the Entrepreneurial Mindset Across the University


Book Description

“It stretches no point to suggest that creativity, innovation and risk-taking will decide our future societal prosperity. We cannot spread those values too widely, so having taught engineering faculty in their first book, these authors now aim to boost the spirit across all disciplines. What a great success for all of us if they succeed.” – Mitchell E. Daniels, Jr., president of Purdue University and former governor of Indiana Despite the relevancy of the entrepreneurial mindset for all career paths, only a small percentage of the higher education student population takes part in entrepreneurially-minded learning opportunities. This gap can be attributed to several factors. From a program perspective, many degrees are already at credit capacity which allows limited room in the existing curriculum to add new courses. From a student perspective, entrepreneurship education is thus positioned as optional and requires extra time (and in some cases tuition) to do so. Finally, from an educator perspective, the majority of faculty members across the university have not been trained in entrepreneurship and may not know where to start. Teaching the Entrepreneurial Mindset Across the University: An Integrative Approach overcomes these challenges by providing higher education faculty with a toolkit, including tips and strategies, to integrate the entrepreneurial mindset into existing courses regardless of discipline. The book is broken into three core parts: Motivation: The importance of the entrepreneurial mindset for all students is established; Design: The Entrepreneurial Mindset Teaching Blueprint is introduced as a tool for integrating entrepreneurially-minded curricular learning experiences within existing courses; Application: Example entrepreneurially-minded curriculum from across the university are provided. By integrating the entrepreneurial mindset across the curriculum, students from all disciplinary backgrounds will be better prepared to enter the workforce, solve complex social issues, and leverage entrepreneurial thinking in their everyday lives. This book is meant for educators who want to make an impact and truly prepare graduates for the real world.




AI for good: India and beyond


Book Description

"AI FOR GOOD-INDIA AND BEYOND" is a seminal work offering a comprehensive navigation into the evolution and current state of AI regulation in India, marking significant judicial decisions and emerging policies with a keen eye on their alignment with international laws/standards. The book advocates for a Human Rights-Centric Policy Approach promoting fairness, accountability, and transparency in the development of ethical AI systems. Analysing global trends and legal approaches towards AI governance, the authors provide a comparative panorama spanning the latest EU AI Act (2024) to enactments in Brazil, China, Japan, and the USA. Key features • Comprehensive Analysis: Detailed analysis of AI & laws, and policies in India and their global interplay. • Legal Frameworks: Exploration of the statutes and case laws that govern AI, highlighting the evolving legal landscape with real-life examples. • Ethical Considerations: Discussion on the ethical frameworks that must be considered for responsible AI management, including safety, inclusivity, equality, privacy, transparency, accountability, and protection of human values. • Policy Recommendations: Tailored recommendations for India, considering its unique position in the global market and potential for AI leadership. • International Perspectives: Examination of international frameworks and guidelines from major entities like the EU, OECD, and the UNESCO, offering a global context for comparison. • IPR and AI Interplay: A dedicated section on the relationship between AI and intellectual property rights, addressing concerns around AI-generated content, and ownership. • Civil and Criminal Liabilities: Insights into the complex issues of AI and legal liability, highlighting discussions of potential civil and criminal implications. • Legal Personhood of AI: An in-depth look at the concept of granting legal personhood to AI entities and the related legal and ethical implications. • Data Governance: The draft National Data Governance Framework Policy and its importance for managing government data and fostering an ecosystem for AI are covered. • Deeper Insights : 500 plus references for deeper understanding of the topics illustrated in the book