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.

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.

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.

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

The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components.

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.

AI isn’t magic. How AI Works demystifies the explosion of artificial intelligence by explaining—without a single mathematical equation—what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood."Artificial intelligence is everywhere—from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT—yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon.You’ll learn: The relationship between artificial intelligence, machine learning, and deep learningThe history behind AI and why the artificial intelligence revolution is happening nowHow decades of work in symbolic AI failed and opened the door for the emergence of neural networksWhat neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number.The implications of large language models, like ChatGPT and Bard, on our society—nothing will be the same againAI isn’t magic. If you’ve ever wondered how it works, what it can do, or why there’s so much hype, How AI Works will teach you everything you want to know.

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

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.

A stark and urgent warning on the unprecedented risks that a wave of fast-developing technologies poses to global order, with techno-authoritarianism on one side and even more catastrophic outcomes, like societal collapse, on the other. How we might contain these threats to human life? From the cofounder of a pioneering AI company.

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.

"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"--

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?

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).

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming. We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state of the art algorithms, followed by the discussion of their theoretical properties and limitations. Table of Contents: Markov Decision Processes / Value Prediction Problems / Control / For Further Exploration

Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts.

Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models.In Engineering Deep Learning Systems you will learn how to:Transfer your software development skills to deep learning systemsRecognize and solve common engineering challenges for deep learning systemsUnderstand the deep learning development cycleAutomate training for models in TensorFlow and PyTorchOptimize dataset management, training, model serving and hyperparameter tuningPick the right open-source project for your platformEngineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning. It's full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms. You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an excitingand lucrativecareer as a deep learning engineer.about the technologyBehind every deep learning researcher is a team of engineers bringing their models to production. To build these systems, you need to understand how a deep learning system's platform differs from other distributed systems. By mastering the core ideas in this book, you'll be able to support deep learning systems in a way that's fast, repeatable, and reliable.