Download or read book Deceptive AI written by Stefan Sarkadi and published by Springer Nature. This book was released on 2021-12-02 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented at the First International Workshop on Deceptive AI, DeceptECAI 2020, held in conjunction with the 24th European Conference on Artificial Intelligence, ECAI 2020, in Santiago de Compostela, Spain, in August 2020, and Second International Workshop on Deceptive AI, DeceptAI 2021, held in conjunction with the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021, in Montreal, Canada, in August 2021. Due to the COVID-19 pandemic both conferences were held in a virtual mode. The 12 papers presented were thoroughly reviewed and selected from the 16 submissions. They present recent developments in the growing area of research in the interface between deception and AI.

Download or read book The Language of Deception written by Justin Hutchens and published by John Wiley & Sons. This book was released on 2023-11-21 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A penetrating look at the dark side of emerging AI technologies In The Language of Deception: Weaponizing Next Generation AI, artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore multiple foundational concepts to include the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past. From these foundations, the author examines topics related to the emerging risks of advanced AI technologies, to include: The use of Large Language Models (LLMs) for social manipulation, disinformation, psychological operations, deception and fraud The implementation of LLMs to construct fully autonomous social engineering systems for targeted attacks or for mass manipulation at scale The technical use of LLMs and the underlying transformer architecture for use in technical weapons systems to include advanced next-generation malware, physical robotics, and even autonomous munition systems Speculative future risks such as the alignment problem, disembodiment attacks, and flash wars. Perfect for tech enthusiasts, cybersecurity specialists, and AI and machine learning professionals, The Language of Deception is an insightful and timely take on an increasingly essential subject.

Download or read book Deceitful Media written by Simone Natale and published by Oxford University Press, USA. This book was released on 2021 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Since its inception, Artificial Intelligence (AI) has been nurtured by the dream - cherished by some scientists while dismissed as unrealistic by others - that it will lead to forms of intelligence similar or alternative to human life. However, AI might be more accurately described as a range of technologies providing a convincing illusion of intelligence - in other words, not much the creation of intelligent beings, but rather of technologies that are perceived by humans as such. Deceitful Media argues that AI resides also and especially in the perception of human users. Exploring the history of AI from its origins in the Turing Test to contemporary AI voice assistants such as Alexa and Siri, Simone Natale demonstrates that our tendency to project humanity into things shapes the very functioning and implications of AI. He argues for a recalibration of the relationship between deception and AI that helps recognize and critically question how computing technologies mobilize specific aspects of users' perception and psychology in order to create what we call "AI." Introducing the concept of "banal deception," which describes deceptive mechanisms and practices that are embedded in AI, the book shows that deception is as central to AI's functioning as the circuits, software, and data that make it run. Delving into the relationship between AI and deception, Deceitful Media thus reformulates the debate on AI on the basis of a new assumption: that what machines are changing is primarily us, humans. If 'intelligent' machines might one day revolutionize life, the book provocatively suggests, they are already transforming how we understand and carry out social interactions"--

Download or read book Misinformation and Disinformation written by Victoria L. Rubin and published by Springer Nature. This book was released on 2022-06-14 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.

Download or read book AI to Prevent Deception Technology and Proliferation Growth written by Woldemariam and published by 1A. This book was released on 2023-11-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI to Prevent Deception Technology and Proliferation Growth CONVERSATIONAL CHAT INFORMATIVE BOOK By ABEBE- BARD AI WOLDEMARIAM This book explores the potential of artificial intelligence (AI) to combat the growing threat of deception technology. Deception technology, including deepfakes, bots, and social media manipulation, poses a significant risk to individuals, organizations, and societies. The book argues that AI can be a powerful tool in detecting, preventing, and addressing the proliferation of such technologies. Key Points: The Nature of Deception Technology: Provides an overview of various deception technologies, their motivations, and potential impact. The Challenges of Detecting and Preventing Deception Technology: Discusses the limitations of traditional methods and the need for AI-driven solutions. AI as a Tool for Preventing Deception Technology: Explains how AI can be used to identify patterns, predict threats, and educate the public. The Ethical Implications of Using AI to Prevent Deception Technology: Addresses concerns about bias, discrimination, and the need for responsible AI development. Case Studies and Practical Applications: Presents real-world examples of AI being used to combat deception technology. Trends and Future Directions: Explores the evolving landscape of deception technology and the role of AI in mitigating future threats. Target Audience: This book is intended for a broad audience interested in understanding the threats posed by deception technology and how AI can be used to address them. It is particularly relevant for: Technology professionals: Those working in cybersecurity, artificial intelligence, and other related fields. Policymakers and regulators: Responsible for developing and implementing policies to address the risks of deception technology. Educators and students: Seeking to understand the impact of deception technology on society and explore potential solutions. General public: Anyone concerned about the growing use of deception technology and its potential consequences. Overall, "AI to Prevent Deception Technology and Proliferation Growth" provides a timely and insightful analysis of a critical issue facing the digital world. It advocates for the use of AI as a powerful weapon in the fight against deception technology and offers a roadmap for developing and deploying responsible AI solutions.

Download or read book Autonomous Agents and Multiagent Systems Best and Visionary Papers written by Francesco Amigoni and published by Springer Nature. This book was released on with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automatic Detection of Verbal Deception written by Eileen Fitzpatrick and published by Springer Nature. This book was released on 2022-05-31 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: The attempt to spot deception through its correlates in human behavior has a long history. Until recently, these efforts have concentrated on identifying individual "cues" that might occur with deception. However, with the advent of computational means to analyze language and other human behavior, we now have the ability to determine whether there are consistent clusters of differences in behavior that might be associated with a false statement as opposed to a true one. While its focus is on verbal behavior, this book describes a range of behaviors—physiological, gestural as well as verbal—that have been proposed as indicators of deception. An overview of the primary psychological and cognitive theories that have been offered as explanations of deceptive behaviors gives context for the description of specific behaviors. The book also addresses the differences between data collected in a laboratory and "real-world" data with respect to the emotional and cognitive state of the liar. It discusses sources of real-world data and problematic issues in its collection and identifies the primary areas in which applied studies based on real-world data are critical, including police, security, border crossing, customs, and asylum interviews; congressional hearings; financial reporting; legal depositions; human resource evaluation; predatory communications that include Internet scams, identity theft, and fraud; and false product reviews. Having established the background, this book concentrates on computational analyses of deceptive verbal behavior that have enabled the field of deception studies to move from individual cues to overall differences in behavior. The computational work is organized around the features used for classification from -gram through syntax to predicate-argument and rhetorical structure. The book concludes with a set of open questions that the computational work has generated.

Download or read book Philosophy and Theory of Artificial Intelligence 2021 written by Vincent C. Müller and published by Springer Nature. This book was released on 2022-11-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers contributions from the fourth edition of the Conference on "Philosophy and Theory of Artificial Intelligence" (PT-AI), held on 27-28th of September 2021 at Chalmers University of Technology, in Gothenburg, Sweden. It covers topics at the interface between philosophy, cognitive science, ethics and computing. It discusses advanced theories fostering the understanding of human cognition, human autonomy, dignity and morality, and the development of corresponding artificial cognitive structures, analyzing important aspects of the relationship between humans and AI systems, including the ethics of AI. This book offers a thought-provoking snapshot of what is currently going on, and what are the main challenges, in the multidisciplinary field of the philosophy of artificial intelligence.

Download or read book AI IA 2001 Advances in Artificial Intelligence written by Floriana Esposito and published by Springer. This book was released on 2003-06-30 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the scientific track of the 7th Congress of the Italian Association for Artificial Intelligence, AI*IA 2001, held in Bari, Italy, in September 2001. The 25 revised long papers and 16 revised short papers were carefully reviewed and selected for inclusion in the volume. The papers are organized in topical sections on machine learning; automated reasoning; knowledge representation; multi-agent systems; natural language processing; perception, vision, and robotics; and planning and scheduling.

Download or read book Unmasking Deception written by Abebe-Bard Ai Woldemariam and published by 1A. This book was released on 2024-01-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmasking Deception: AI-Powered Fraud Management for a Secure Future CONVERSATIONAL CHAT INFORMATIVE BOOK By ABEBE- BARD AI WOLDEMARIAM "Unmasking Deception: AI-Powered Fraud Management for a Secure Future" is a comprehensive guide that delves into the world of AI-powered fraud detection and prevention, offering a roadmap to building a secure digital future for businesses and consumers alike. The book opens by highlighting the growing threat of fraud across various industries, emphasizing the sophistication of modern fraudsters and the limitations of traditional detection methods. Readers will explore the transformative potential of AI, which can analyze vast amounts of data in real-time, identify subtle patterns, and predict fraudulent activity with remarkable accuracy. The book covers different techniques such as machine learning, deep learning, and anomaly detection, showcasing AI as a game-changer in fraud management. The core components of an AI-powered fraud management system are detailed, including data integration, model training, risk scoring, and real-time decision-making. The book also addresses the benefits of AI-driven fraud detection, such as increased accuracy, reduced false positives, faster response times, and improved customer experience. Looking into the future, the book explores potential integrations of AI in fraud prevention with blockchain technology, biometrics, and advanced behavioral analysis. Ethical considerations surrounding AI in fraud detection are also addressed, covering issues like bias, discrimination, and the importance of human oversight and collaboration. Real-world examples, case studies, and practical takeaways are provided throughout the book, empowering readers with actionable insights to combat fraud effectively. Additional chapters cover topics such as securing businesses in the online realm, embracing the evolving intelligence of AI fraud detection, harnessing AI's ability to identify anomalies, and the powerful synergy between humans and AI in fraud defense. "Unmasking Deception" is a timely and informative guide for anyone concerned about fraud in the digital age. Whether you're a business owner, a security professional, or a consumer seeking to protect yourself, this book equips you with the knowledge and insights to navigate the ever-changing landscape of online threats and build a more secure future for all.

Download or read book The Truth About DeepFake Ai written by Tom Barn and published by Independently Published. This book was released on 2024-04-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In "The Truth About DeepFake Ai," embark on an enlightening journey through the world of deepfakes-a captivating blend of innovation and deception. This comprehensive guide explores the rise of AI-generated synthetic media, shedding light on its revolutionary impact across industries, from entertainment and education to healthcare and business. Dive deep into the inner workings of deepfake technology, uncovering how AI deep-learning and generative adversarial networks (GANs) create strikingly realistic images, videos, and audio. Gain insights into the dark side of deepfakes, where misinformation and manipulation thrive, as well as the promising positive applications that harness the power of synthetic media for good. Learn how to spot deepfakes with expert tips on identifying visual and audio cues, and discover strategies to protect yourself and your business from the risks of deepfake-driven fraud. Explore the ethical and legal implications surrounding deepfakes and their impact on politics, public figures, and society as a whole. As you navigate this thought-provoking exploration, you'll also glimpse the future of deepfakes, including emerging trends and technologies, ongoing challenges, and debates. Understand the importance of promoting responsible use of deepfake technology and the need for regulation and control to ensure a safer digital landscape. "The Truth About DeepFake Ai" is an essential resource for anyone seeking a deeper understanding of the complexities and consequences of AI-generated synthetic media. Whether you're a tech enthusiast, professional, or curious reader, this book equips you with knowledge and tools to navigate the ever-changing world of deepfakes. Prepare to uncover the truth behind the illusion and arm yourself against the age of digital deception.

Download or read book Why Greatness Cannot Be Planned written by Kenneth O. Stanley and published by Springer. This book was released on 2015-05-05 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why does modern life revolve around objectives? From how science is funded, to improving how children are educated -- and nearly everything in-between -- our society has become obsessed with a seductive illusion: that greatness results from doggedly measuring improvement in the relentless pursuit of an ambitious goal. In Why Greatness Cannot Be Planned, Stanley and Lehman begin with a surprising scientific discovery in artificial intelligence that leads ultimately to the conclusion that the objective obsession has gone too far. They make the case that great achievement can't be bottled up into mechanical metrics; that innovation is not driven by narrowly focused heroic effort; and that we would be wiser (and the outcomes better) if instead we whole-heartedly embraced serendipitous discovery and playful creativity. Controversial at its heart, yet refreshingly provocative, this book challenges readers to consider life without a destination and discovery without a compass.

Download or read book Autonomous Cyber Deception written by Ehab Al-Shaer and published by Springer. This book was released on 2019-01-02 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook surveys the knowledge base in automated and resilient cyber deception. It features four major parts: cyber deception reasoning frameworks, dynamic decision-making for cyber deception, network-based deception, and malware deception. An important distinguishing characteristic of this book is its inclusion of student exercises at the end of each chapter. Exercises include technical problems, short-answer discussion questions, or hands-on lab exercises, organized at a range of difficulties from easy to advanced,. This is a useful textbook for a wide range of classes and degree levels within the security arena and other related topics. It’s also suitable for researchers and practitioners with a variety of cyber security backgrounds from novice to experienced.

Download or read book Artificial Intelligence and Academic Integrity written by April G. Dawson and published by Aspen Publishing. This book was released on 2023-08-10 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Academic Integrity, by April G. Dawson, is Aspen’s concise primer intended to increase student awareness of the protocols, possibilities, and ethical implications of using AI systems in their legal education studies, while also giving professors assurance that their students are informed of the same. AI is having a sudden and profound impact on the legal profession, as it has in virtually professions worldwide. Understanding how to leverage AI tools effectively and appropriately will give law school graduates a competitive edge among legal employers interested to hire tech-savvy young lawyers. But AI is also having a profound impact on the legal education experience. As more and more students seek assistance from ChatGPT and similar tools for their academic work, questions arise as to what they are gaining or sacrificing in the process; and whether, or at what point, using AI in academic work falls within the bounds of academic integrity. Such dramatic developments call for better knowledge and understanding of the ethical implications associated with using AI systems in law school. April G. Dawson explores the pros and cons of using powerful AI tools in law school while maintaining institutional standards for academic rigor and intellectual honesty in legal education—alongside students’ own values and developing sense of legal ethics. Professors and students will benefit from: Assurance that AIAI raises student awareness of the importance of 1) using generative AI tools like ChatGPT responsibly; and 2) understanding how academic integrity facilitates learning and prepares students to become ethically responsible in the practice of law; 3) researching and reading their school’s code of conduct, and 4) understanding the policies of individual professors with respect to the use of generative AI tools. Reflection: Professional Identity Formation (PIF), questions that prompt students to reflect on their own experiences with generative AI—both its useful applications for learning and practice, as well as the potential for using AI in ways that violate academic integrity and undermine principles of professional responsibility. Examples of individuals making choices and realizing the consequences of their decisions for a range of situations and ethical quandaries Case Studies feature summaries of recent landmark cases and discussion of law and policy. A concise overview of law-specific AI products, the tasks they perform, and the reasons for the legal profession’s measured approach to adopting them Incisive discussion of the potential for generative AI’s to significantly mitigate, though not fully address, the nation’s access to justice crisis

Download or read book AI 2002 Advances in Artificial Intelligence written by Bob McKay and published by Springer. This book was released on 2003-07-01 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th Australian Joint Conference on Artificial Intelligence, AI 2002, held in Canberra, Australia in December 2002. The 62 revised full papers and 12 posters presented were carefully reviewed and selected from 117 submissions. The papers are organized in topical sections on natural language and information retrieval, knowledge representation and reasoning, deduction, learning theory, agents, intelligent systems. Bayesian reasoning and classification, evolutionary algorithms, neural networks, reinforcement learning, constraints and scheduling, neural network applications, satisfiability reasoning, machine learning applications, fuzzy reasoning, and case-based reasoning.

Download or read book The All Seeing Eyes of AI written by Woldemariam and published by 1A. This book was released on 2023-11-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The All-Seeing Eyes of AI: Unveiling the Potential and Challenges of Artificial Intelligence in Unveiling Deception CONVERSATIONAL CHAT INFORMATIVE BOOK The rapid advancement of artificial intelligence (AI) has brought about a paradigm shift in our world, introducing a new era of automation, data analysis, and decision-making. AI's capabilities have extended far beyond traditional computing, enabling it to perceive, interpret, and interact with the world around us in ways that were once unimaginable. This transformative power has instilled in AI a ubiquitous presence, often referred to as its "all-seeing eyes." AI's pervasive surveillance, while raising privacy concerns, has also opened up a world of possibilities for combating deception and safeguarding our digital interactions. AI algorithms can analyze vast amounts of data, identify patterns and anomalies, and adapt to evolving tactics, making them invaluable tools in detecting and preventing deception. The all-seeing eyes of AI, while raising valid privacy concerns, hold immense potential for combating deception and safeguarding our digital interactions. By harnessing AI's capabilities responsibly and ethically, we can create a more trustworthy and secure online environment, protecting individuals, organizations, and society from the harmful effects of deception.

Download or read book AI 2003 Advances in Artificial Intelligence written by Tamas D. Gedeon and published by Springer. This book was released on 2003-12-01 with total page 1095 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.