Kunstig intelligens

EN ARBEJDSPLADSROMAN FRA DET 22. ÅRHUNDREDE Besætningen på Det sekstusinde skib består af menneskelige og menneskelignende ansatte. Da skibet får en række genstande ombord fra planeten Nyopdagelsen, begynder de ansatte at udvikle dybe forbindelser til genstandene, men uden helt at kunne forstå hvorfor. Snart ser besætningen sig selv i et nyt lys, og enhver ansat må spørge sig selv om arbejdsgangen kan fortsætte som før. Opbygget som en protokol med vidneudsagn forsøger den litterære science-fiction roman De ansatte at undersøge, hvad forskellen er på et menneske og en ting, og hvad det vil sige at være i live.

In Rewired, the world's most influential management consulting firm, McKinsey & Company, delivers a road-tested, how-to manual their own consultants use to help companies build the capabilities to outcompete in the age of digital and AI.Many companies are stuck with digital transformations that are not moving the needle. There are no quick fixes but there is a playbook. The answer is in rewiring your business so hundreds, thousands, of teams can harness technology to continuously create great customer experiences, lower unit costs, and generate value. It's the capabilities of the organization that win the race.McKinsey Digital's top leaders Eric Lamarre, Kate Smaje and Rodney W. Zemmel provide proven how-to details on what it takes in six comprehensive sections - creating the transformation roadmap, building a talent bench, adopting a new operating model, producing a distributed technology environment so teams can innovate, embedding data everywhere, and unlocking user adoption and enterprise scaling.Tested, iterated, reworked, and tested again over the years, McKinsey's digital and AI transformation playbook is captured in the pages of Rewired. It contains diagnostic assessments, operating model designs, technology and data architecture diagrams, how-to checklists, best practices and detailed implementation methods, all exemplified with demonstrated case studies and illustrated with 100+ exhibits.Rewired is for leaders who are ready to roll up their sleeves and do the hard work needed to rewire their company for long-term success.

I disse år opstår der en lang række nye problemer og etiske dilemmaer i forbindelse med kunstig intelligens: Kommer robotterne til at tage vores arbejde? Bliver de klogere end os? Kan man stole på en selvkørende bil? Og hvem skal bestemme, hvem den skal slå ihjel, hvis et uheld er uundgåeligt? I Hvad skal vi med mennesker? diskuterer Peter Svarre på medrivende vis disse etiske dilemmaer og klæder læseren på til at forstå, hvordan kunstig intelligens overhovedet fungerer. Kunstig intelligens er nemlig ikke så kompliceret, som mange tror. Alle kan deltage i denne vigtige diskussion om vores fremtid!

What does it mean to be intelligent? Is it something unique to humans - or do we share it with other beings? Recent years have seen rapid advances in 'artificial' intelligence, which increasingly appears to be something stranger than we ever imagined. At the same time, we are becoming more aware of the other intelligences which have been with us all along, unrecognized. These other beings are the animals, plants, and natural systems that surround us, and are slowly revealing their complexity and knowledge - just as the new technologies we've built are threatening to cause their extinction, and ours. In Ways of Being, writer and artist James Bridle considers the fascinating, uncanny and multiple ways of existing on earth. What can we learn from these other forms of intelligence and personhood, and how can we change our societies to live more equitably with one another and the non-human world? From Greek oracles to octopuses, forests to satellites, Bridle tells a radical new story about ecology, technology and intelligence. We must, they argue, expand our definition of these terms to build a meaningful and free relationship with the non-human, one based on solidarity and cognitive diversity. We have so much to learn, and many worlds to gain.

Har du oplevet at tale med en, der pludselig afbryder jeres øjenkontakt for at tjekke sin mobil? Kan du sidde i et tog i dine egne tanker uden at tage telefonen frem? Kan du fordybe dig i en bog i bare en halv time ad gangen uden digitale distraktioner? Er du lige så nærværende i samtaler, og sover du lige så godt og stabilt, som du gjorde engang?Mennesket er blevet forandret af den digitale revolution, og mange af os føler, at telefonen slavebinder os. Undersøgende journalist Jakob Sorgenfri Kjær udforsker, hvordan teknologien har påvirket mennesket og samfundet: Vores forhold til hinanden, til vores børn, partner, os selv og vores sind. Undervejs præsenteres læseren for stribevis af tankevækkende studier og detaljer om mennesket og det digitale liv, vi fik. Personlige beretninger blandes med den nyeste viden fra hjerneforskere, psykologer, sociologer, dataloger, antropologer og historikere.På få år er vi blevet ført baglæns ind i et verdensomspændende socialt eksperiment, og vores autonomi er udfordret. Men heldigvis er det ikke for sent at kigge op og tage kontrollen tilbage over vores liv.

Bogens grundsyn er præget en optimistisk tro på, at fremtiden bliver bedre. Men kun hvis politikerne træffer de rigtige – og store! –beslutninger. Når meget arbejde – også det intellektuelle – bliver overtaget af maskiner, får mennesker mere tid til nærhed og omsorg.Bogen er også et opråb og et politisk manifest. De positive konsekvenser af den moderne teknologi opstår nemlig ikke uden de ansvarlige politikeres indgriben. De politiske handlinger skal op i et tempo, der modsvarer den teknologiske udviklings. Det handler om omfordeling, både af penge, indflydelse og ejerskab.Fremtidens løsninger kan vi blandt andet finde ved nytænke nogle af fortidens succeser, fra andels- og fagbevægelse til overskudsdeling og folkeoplysning.Ti bud med flere konkrete løsninger, blandt andet til hvordan man kan indføre basisindkomst, regulere finanssektoren og skaffe mere fri tid og grøn omstilling, afslutter bogen.

Et elskende par bliver sat på en prøve, der går langt over deres forstand. Charlie driver gennem livet og holder sig langt væk fra et fuldtidsarbejde, men er forelsket i Miranda, en dygtig studerende der må leve med en frygtelig hemmelighed. Da Charlie en dag kommer til penge, køber han Adam, et af de første syntetiske mennesker, og designer – med Mirandas hjælp – hans personlighed. Det næsten fuldendte menneske, der kommer ud af dette eksperiment, er en smuk, stærk og klog mand. Det varer ikke længe, før de tre er viklet ind i et trekantsdrama, der kaster dem ud i store moralske problemer. Ian McEwans roman Maskiner som mig stiller spørgsmålet, om en maskine kan forstå menneskehjertet – eller om det er vores forståelse, der er mangelfuld.

**A New York Times Bestseller**'Co-Intelligence is the very best book I know about the ins, outs, and ethics of generative AI. Drop everything and read it cover to cover NOW' Angela DuckworthConsumer AI has arrived. And with it, inescapable upheaval as we grapple with what it means for our jobs, lives and the future of humanity.Cutting through the noise of AI evangelists and AI doom-mongers, Wharton professor Ethan Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, he urges us to engage with AI as co-worker, co-teacher and coach. Wide ranging, hugely thought-provoking and optimistic, Co-Intelligence reveals the promise and power of this new era.

Generative modeling is one of the hottest topics in AI. Its now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, youll understand how to make your models learn more efficiently and become more creative.Discover how variational autoencoders can change facial expressions in photosBuild practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generationCreate recurrent generative models for text generation and learn how to improve the models using attentionUnderstand how generative models can help agents to accomplish tasks within a reinforcement learning settingExplore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Robotter og kunstig intelligens har i dag overtaget en mængde funktioner, som mennesker før tog sig af. De står for lagerarbejdet hos Amazon, og de kan holde øje med, hvad du lægger ud på Instagram og Facebook. Men de er også i stigende grad flyttet ind på hospitaler og advokatkontorer, de bevæger sig rundt i trafikken og er så småt begyndt at flytte ind i vores private hjem. Her skal de kunne omgås og forholde sig til mennesker – de skal kort sagt have situationsfornemmelse. Det stiller særlige krav til deres sociale intelligens. Thomas Bolander undersøger, hvad der skal til for at give fremtidens systemer med kunstig intelligens sociale evner, så de kan indgå i et frugtbart samspil med mennesker. Det kræver et dybere kig ned i sociale aspekter af ikke bare den kunstige, men også den menneskelige intelligens. Anmeldelser: "Gribende page-turner (...) Thomas Bolander skriver godt og klart om, hvorfor forskningen i kunstig intelligens har brug for humaniora og samfundsvidenskab." ⭐️⭐️⭐️⭐️⭐️ - Altinget "En kort, men aldeles glimrende introduktion til kunstig intelligens." ⭐️⭐️⭐️⭐️⭐️ - Journalisten Thomas Bolander (f. 1972) er phd. og professor i logik og kunstig intelligens på DTU Compute, hvor han forsker i sociale aspekter af kunstig intelligens. Han er medlem af SIRI-kommissionen, som undersøger kunstig intelligens’ indvirkning på det danske samfund.

HJERTETS GEOMETRI er en fortsættelse af Viggo Bjerrings anmelderroste VERDENSHJERTET. Klokken er 11.07 den 10. marts, og Mads befinder sig i en tyst, postapokalyptisk verden. Mænd og kvinder, børn og voksne er størknet i vilkårlige positurer. Fastfrosne skyer på himlen og svaner stivnet i flugt over Søerne.I denne ultimative ensomhed kæmper Mads med sig selv og sine nye omgivelser. Hvordan overlever man i et størknet univers? Er livet overhovedet værd at leve uden andre mennesker? Hvor finder man håb i en verden i opløsning?Mens Mads forsøger at finde en vej ud af sin egen og verdens stilstand, bliver han spundet ind i et gådefuldt eventyr, som fører ham dybt ind i hjertets mørke.Hjertets geometri er en fængslende fremtidsroman om overlevelse, erindring og kunstig intelligens. Romanen er en fortsættelse af Viggo Bjerrings anmelderroste Verdenshjertet.SKREVET OM VERDENSHJERTET*Nomineret til Weekendavisens Litteraturpris 2022*"intelligent, mystificerende, politisk og fuld af gak og gøgl" – Weekendavisen"en velskrevet og gennemtænkt roman" ♥︎♥︎♥︎♥︎ – Politiken"effektiv samfundssatire” – Dagbladet Information"En fremragende romandebut. (…) Det er mindst lige så underholdende, som det er tankevækkende" – POV InternationalVIGGO BJERRING (f. 1981) debuterede i 2016 med novellesamlingen 'Balancekatten'. Samme år udkom kortromanen 'QWERTY', som blev nomineret til Danske Skønlitterære Forfatteres pris, Den Svære Toer. I 2021 udkom hans første roman, 'Verdenshjertet', og i 2022 modtog han Statens Kunstfonds treårige arbejdslegat.

"We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organise your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of the pioneering AI company DeepMind, part of Google, Mustafa Suleyman has been at the centre of this revolution. The coming decade, he argues, will be defined by this wave of powerful, fast-proliferating new technologies. In The Coming Wave, Suleyman shows how these forces will create immense prosperity but also threaten the nation-state, the foundation of global order. As our fragile governments sleepwalk into disaster, we face an existential dilemma: unprecedented harms on one side, the threat of overbearing surveillance on the other. Can we forge a narrow path between catastrophe and dystopia? This groundbreaking book from the ultimate AI insider establishes "the containment problem"-the task of maintaining control over powerful technologies-as the essential challenge of our age"--

Kunstig intelligens – Hele tiden mere intelligent beskriver udviklingen fra den første mekaniske computer til de computerprogrammer, vi har i dag. Den hollandske filosof og matematiker Stefan Buijsman fortæller levende om, hvordan kunstig intelligens er skruet sammen ved at tage læserne med ind i maskinrummet bag programmeringen af både simple algoritmer og komplekse neurale netværker. Bogen bevæger sig mellem komplicerede matematiske forklaringer og jordnære hverdagseksempler på, hvordan kunstig intelligens indgår i alt fra skakturneringer og datingapps til sundhedsvæsnet og kriminalforsorgen.Kunstig intelligens kombinerer viden om digital teknologi med nogle af de filosofiske spørgsmål, som udviklingen medfører, samtidig med at præsentere de nyeste tendenser inden for området.Stefan Buijsmans første bog Tallene i vores liv – Matematikken og verden omkring os udkom på dansk i 2020 (Samfundslitteratur).

Vores digitale verden er fuld af besværlige dilemmaer og frustrerende paradokser. Sociale medier har givet undertrykte borgere en stemme i demokratiet, men også spredt propaganda og trusler i et formentlig hidtil uset omfang. Smartphones har åbnet en ny verden af viden og kultur for folk, men bliver kritiseret for at gøre brugerne ulykkelige. Droner hjælper nødhjælpsorganisationer med at skabe fremgang i skrøbelige lande, men er samtidig kilde til drab på civile i Afghanistan. De nye teknologier rummer mange muligheder, men har også vist sig at kunne skade samfundet og almindelige mennesker.Vi ser på de fremskridt, som også er en forbandelse, fordi det hele går så stærkt, fordi udviklingen påvirker alle sider af vores liv, og fordi mennesker sjældent forstår virkningerne af det, de har fundet på, før problemerne melder sig. Bogen tager læseren i hånden, gør udviklingen konkret og klæder læseren på til at tage del i de diskussioner om tech, apps og data, som berører os alle.

Amid the discourse surrounding the controversial role of generative AI in education, this book goes beyond the hype to explore the opportunities and challenges of the technology in K-tertiary education. It explores the broader landscape of generative AI, offering invaluable insights into its workings and ethical considerations.

Get to grips with the LangChain framework from theory to deployment and develop production-ready applications.Code examples regularly updated on GitHub to keep you abreast of the latest LangChain developments.Purchase of the print or Kindle book includes a free PDF eBook.Key Features:Learn how to leverage LLMs' capabilities and work around their inherent weaknessesDelve into the realm of LLMs with LangChain and go on an in-depth exploration of their fundamentals, ethical dimensions, and application challengesGet better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into realityBook Description:The ChatGPT and the GPT models by OpenAI have brought about a revolution in the way we think about the world - and not only in how we write and research, but in how we can process information.This book discusses the functioning, capabilities, and limitations of LLMs including ChatGPT and Bard. It also demonstrates how to use the LangChain framework to implement production-ready applications based on these models, such as agents and personal assistants, and integrate with other tools such as web searches and code execution.As you progress through the chapters, you'll use transformer models and diverse attention mechanisms, refining the intricate process of training and fine-tuning. You'll get to grips with data-driven decision-making with automated analysis and visualization using pandas and Python. You'll also take a closer look at the heuristics of how to use these models, prompting, training and fine-tuning, and deploying at scale.By the time you've finished this book, you'll have a deep understanding of what makes LLMs tick and how to make the most of them.What You Will Learn:Gain an understanding of LLMs and their legal implicationsUnderstand transformer models and different attention mechanismsTrain and fine-tune LLMs and get to know the tools for using themBuild applications with LangChain like question-answering systems and chatbotsImplement automated data analysis and visualization with pandas and PythonGrasp prompt engineering to improve prompts and evaluation strategiesDeploy LLMs as a service with LangChainInteract privately with your documents without data leaks using ChatGPTWho this book is for:The book is for developers, researchers, and anyone interested in learning more about LLMs. Whether you are a beginner or an experienced developer, this book will be a valuable resource if you want to get the most out of LLMs and are looking to stay ahead of the curve in the LLMs and LangChain arena.Basic knowledge of Python is a prerequisite, while some prior exposure to machine learning will help you follow along more easily.

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time.The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study.A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code.Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University.¿Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field.¿ -- Geoffrey Hinton"With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." ¿ Yann LeCun¿This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. These concepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence.¿ -- Yoshua Bengio

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. Yoüll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains.Whether you're a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.What You Will LearnGain a solid understanding of generative AI, starting from the basics of neural networks and progressing to complex architectures like ChatGPT and Google BardImplement large language models using Sklearn, complete with code examples and best practices for real-world applicationLearn how to integrate LLM¿s in enterprises, including aspects like LLMOps and technology stack selectionUnderstand how generative AI can be applied across various industries, from healthcare and marketing to legal compliance through detailed use cases and actionable insightsWho This Book Is ForData scientists, AI practitioners, Researchers and software engineers interested in generative AI and LLMs.

"An accessible, straightforward guide that demystifies Artificial Intelligence for a general audience without the use of complex math or technical jargon. Covers the fundamentals, from classical models and neural networks to the large language models leading today's AI revolution"--

In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools that promise to reshape industries, and revolutionize how we manage projects. Whether you're looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. With case studies and prompts, the dialogues showcase AI in action, from stakeholder engagement to risk management. Dive in with experts whove spent countless hours using these AI tools in project scenarios to offer a transparent view into generative AI-driven project management. In this book you'll learn: How to create prompts that generate meaningful and actionable insights tailored for your projects When to use AI to enhance decision-making, super-charge productivity, and elevate overall project efficiency Which generative AI models and plug-ins to use for specific project scenarios, ensuring seamless integration and maximum efficiency "AI is not just a buzzword; its a tool reshaping how we manage projects and engage with stakeholders." - From the Foreward by Ricardo Viana Vargas, Ph.D. Ricardo is an experienced leader in global operations, project management, business transformation, and crisis management. As founder and managing director of Macrosolutions, a consulting firm with international operations in energy, infrastructure, IT, oil, and finance, he managed more than $20 billion in international projects in the past 25 years. UpdateAs AI products continue to evolve, information published in this book may change. Please note that as of February 2024, there is a name change for Bing Chat and Bard Chat.Microsoft Bing Chat is now Copilot: https://copilot.microsoft.com/. Google Bard is now Gemini: https://gemini.google.com/.

Kunstig intelligens, også kaldet AI, vil fuldkommen revolutionere verden, som vi kender den. Med AI’s indtog er der ét område, der er vigtigere end noget andet at vende sig imod, hvis vi for alvor vil forstå hvilke konsekvenser, faldgruber og potentialer, som den kunstige intelligens rummer: Kunsten og kulturen. Det er den, der rummer den reneste udgave af den menneskelige skaberkraft – og dermed vores unikke evne til at frembringe kreative løsninger, tanker og værker.Lige siden mennesket begyndte at lave hulemalerier for titusinder af år siden har kunsten og kulturen udgjort en aktiv, eksplicit og kollektiv form for refleksion over livet og dets grundlæggende vilkår, dilemmaer og formål. Den kunstneriske og kreative praksis har gennem disse titusinder af år været entydigt menneskelig. Ingen andre levende væsner har menneskets kreative skaberkraft eller evnen til at frembringe kunst.Men med AI forholder det sig ikke længere sådan. Det kan lyde ganske dystert, men helt sikkert er det, at AI vil trumfe igennem og transformere kunsten og kulturen. Så hvordan skal vi forstå de udfordringer, som AI repræsenterer? Og hvordan kan vi omdanne dem til muligheder, der kan styrke de menneskelige kvaliteter ved kunsten og kulturen? Det er præcis dét, som Christian Have med denne bog ønsker at give de bedst mulige svar på. En bog, der i øvrigt er blevet til i samarbejde med AI.Om forfatterChristian Have er forfatter, debattør, foredragsholder og indehaver af HAVE A/S, som er Skandinaviens største kommunikationsbureau på kulturområdet. Han har udgivet 10 bøger om kultur, kommunikation og nye, kreative partnerskaber på tværs af kultur- og erhvervslivet.E-bogen er lavet i fixed format

"A playbook for bridging business and data science worlds to effectively execute machine learning projects in business"--

Humanlike robots and digital humans are both fun and useful in many situations. But the more we interact with technology with human traits, the more we believe it to possess real human characteristics like consciousness and personality. As a new breed of artificial beings enters society on a large scale, many of us will start believing they deserve moral consideration and perhaps even rights.In this entertaining and humorously written book, Thomas Telving argues that even though the above scenario is close to inevitable, we should still do all we can to avoid it. Presenting us with thought-provoking future scenarios, state of the art scientific research, and engaging philosophical reflections, he shows us how to avoid some of the scariest pitfalls of human-like technology.“The rapid development in (embodied) artificial intelligence is all but certain to change our lives in the coming years. Using a philosophical framework, Thomas Telving convincingly presents a number of pitfalls following a large increase in human-robot interaction. He joins the important roboethic debate on what future we want to live in, and what it takes for humanity to keep the upper hand in shaping it.”— Tobias Larsen, PhD in Computational Neuroscience from the University of Bristol and senior data scientist at Oviva AG.“Artificial intelligence and advanced robots are increasingly used in science and society, and in many ways they outperform human capabilities. An important question is how our moral and legal stance towards robots will develop when their human likeness increases. In this entertaining new book Thomas Telving takes us through possible scenarios seen in a philosophical perspective. Enlightening, thought-provoking and highly recommended.”— Jacob J. K. Kirkensgaard, PhD, Associate Professor at the Niels Bohr Institute, University of Copenhagen.

Nobody expected this--not even its creators: ChatGPT has burst onto the scene as an AI capable of writing at a convincingly human level. But how does it really work? What's going on inside its "AI mind"? In this short book, prominent scientist and computation pioneer Stephen Wolfram provides a readable and engaging explanation that draws on his decades-long unique experience at the frontiers of science and technology. Find out how the success of ChatGPT brings together the latest neural net technology with foundational questions about language and human thought posed by Aristotle more than two thousand years ago.

Artificial intelligence is everywhere-powering news feeds, curating search results and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes its answers seem eerily smart.... Until they don't.Billions of dollars have been poured into AI yet it keeps surprising us with its epic fails-confidently wrong chatbots, inadvertently racist photo apps, well-meaning autonomous cars that fail to recognize traffic cones.Industry insider Emmanuel Maggiori cuts through the hype, revealing the deceptively simple mechanisms behind AI's impressive results-and its spectacular blunders.Learn the dark secret of the AI industry-how unreasonable expectations, shady practices and outright lying have inflated a bubble of monumental proportions.Read Smart Until It's Dumb to discover how AI really works, why it's not always so smart, and why the AI bubble is about to burst.***Emmanuel Maggiori, PhD, is a 10-year AI industry insider, specialized in machine learning and scientific computing. He helps companies build complex software. He has developed AI for a wide variety of applications, from extracting objects from satellite images to packaging holiday deals for millions of travelers every day.

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?