Using Computational Narratology To Address The Artificial Intelligence Value Alignment Problem
Download Using Computational Narratology To Address The Artificial Intelligence Value Alignment Problem PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Using Computational Narratology To Address The Artificial Intelligence Value Alignment Problem book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Using Computational Narratology to Address the Artificial Intelligence Value Alignment Problem
This thesis provides a novel conceptual contribution to artificial intelligence (AI) safety by finding a tractable method for solving the AI value alignment problem: the creation of more complete audience models using narrative information extraction techniques from the field of computational narratology. With a thorough analysis of results from the field of computational narratology, I show that research into narrative for autonomous agents can contribute to solving the AI value alignment problem. In short, we can create artificial intelligence systems that automatically act in the best interest of humanity by teaching them to read and understand stories.The novelty of this thesis lies in the combination of two disparate academic fields: AI safety and computational narratology. Reviewing the current work and ongoing issues in both fields, I show that methods used in computational narratology to model stories can be used to solve the value alignment problem from the field of AI safety. In Chapter 2, I show why value alignment is the best solution to the problem of controlling intelligent agents. In Chapter 2, I discuss how stories encode tacit human values, and how the creation of a better audience model will contribute to solving the value alignment problem. In Chapter 3, I present two case studies providing evidence that value alignment from narrative information extraction is not only viable, but effective. Finally, I conclude by acknowledging the shortcomings of the field and pressing areas of future work.
ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
HowExpert Guide to Artificial Intelligence
HowExpert Guide to Artificial Intelligence unfolds the complex world of artificial intelligence (AI), guiding readers through its transformative potential and the myriad ways it intersects with our lives. This insightful tome is crafted to demystify AI for a broad audience, from curious novices to seasoned experts, providing a deep dive into the essence, advancements, and ethical landscape of AI. - Embarks on a journey with a preface that illuminates AI's transformative path, setting the stage for a comprehensive exploration. - The introduction offers a clear delineation between AI myths and realities, establishing a foundation for the discussions that follow. - Traces the historical evolution of AI, highlighting key milestones and the visionaries who have propelled the field forward. - Breaks down the core technologies underpinning AI, such as machine learning and deep learning, explaining their significance and applications. - Explores the diverse applications of AI, from enhancing everyday life to revolutionizing industries like healthcare, finance, and manufacturing. - Discusses the profound ethical considerations and societal impacts of AI, including privacy concerns, job displacement, and the future of work. - Provides insights into the creation and management of AI solutions, detailing the tools, frameworks, and best practices for AI development. - Looks ahead to the future of AI research, contemplating the challenges and opportunities in striving for advancements and understanding human intelligence. - Envisions the future shaped by AI, pondering the societal transformations and ethical principles that will guide the development of AI technologies. - Concludes with reflections on the ongoing evolution of AI and its enduring significance for the future, encouraging readers to contemplate their role in an AI-driven world. - Appendices enhance the book's utility with a glossary of AI terms, a resource guide for further exploration, and interviews with experts, offering diverse perspectives on AI's present and future. HowExpert Guide to Artificial Intelligence is crafted as a dynamic resource for anyone seeking to understand or engage with artificial intelligence. With a balanced blend of technical insights, practical applications, and ethical reflections, this book not only educates but also inspires thoughtful consideration of AI's role in our collective future. It's an indispensable guide for those looking to grasp the complexities of AI and its potential to redefine the contours of human experience. HowExpert publishes how to guides on all topics from A to Z by everyday experts.