Ergebnis für "Algorithmen" in Geschichte & Kultur

Hilke Schellmann is an Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good.

After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.

Künstliche Intelligenz und Algorithmen erleichtern in Form von Navis, Rechtschreibprogrammen, Suchergänzungen oder Kaufempfehlungen schon lange unseren Alltag. Aber sie hinterlassen oft auch ein mulmiges Gefühl, weil wir nicht so recht verstehen, was da passiert. Katharina Zweig, IT-Expertin für Sozioinformatik und vielfach ausgezeichnete Informatikprofessorin, erklärt mit Witz und anhand einfacher Beispiele und Illustrationen, was Algorithmen eigentlich genau sind, wie sie funktionieren, welche völlig harmlos sind und welche uns tatsächlich Sorgen bereiten sollten.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.

Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration.

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.

Think creatively like a human. Analyze and solve problems efficiently like a computer. Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results! The good news is, there is! Apply computer algorithms to your everyday problems.

From facial recognition—capable of checking us onto flights or identifying undocumented residents—to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search.

The word "glitch" implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery—what if they're coded into the system itself? Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology.

Award-winning mathematician Noah Giansiracusa explains how the tech giants and financial institutions use formulas to get ahead—and how anyone can use these same formulas in our everyday lives. You’ll learn how to handle risk rationally, make better investments, take control of your social media, and reclaim agency over the decisions you make each day.

Whether you’re an artist, a technologist, or simply curious about the future of creativity, this audiobook offers a comprehensive and accessible exploration of how AI is transforming the arts. Packed with insights, examples, and forward-thinking perspectives, it’s a must-listen for anyone looking to stay ahead in an age where algorithms meet imagination.

We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context?

Beyond the Algorithm: The Future of Artificial Intelligence is a compelling exploration of AI’s transformative potential and the choices that will shape its impact on humanity. Spanning the near future of the 2030s to the distant horizons of 2100, this accessible yet profound book blends vivid storytelling, rigorous analysis, and visionary optimism to guide listeners through AI’s promise and peril. Written for curious minds—from students to policymakers—it demystifies AI’s trajectory while empowering listeners to influence its course.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

In Revolutionary Algorithms, Torey Akers approaches TikTok with a deep understanding of the app, as both a prolific creator and consumer of its content. In these essays, she interrogates how the TikTok ban and the multiple genocides happening around the world are deeply intertwined; how the app can empower creators, amplify social movements, and document abuses of power. She addresses the good, bad, and sometimes uncanny parts of maneuvering and communicating in a digital space.

Our increasing reliance on technology and the Internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy, what interests us, they can begin to predict our daily habits, and increasingly we are relinquishing our decision making to algorithms - are we giving up this up too easily?

Kenneth is senior director of research and innovation at CoreAVI and chief technology officer at Squint AI. His work focuses on the intersection of artificial intelligence and determinism, enabling neural networks to execute in safety critical systems. Kenneth has co-authored two articles in the scholarly journal Machine Learning with Applications and several white papers for different publications, including Embedded Computing Design. He also holds several patents under CoreAVI’s auspices.

There's no denying the scrutiny of AI algorithms are making life tougher, whether you're applying for jobs, passing exams or securing loans. These digital gatekeepers are raising the stakes and it's natural to feel anxious about their growing influence. This book exists because AI algorithms are changing every aspect of our lives at lightening speed and many of us feel overwhelmed or unprepared for this change.

Algorithms—rules written into software—shape key moments in our lives: from who gets hired or admitted to a top public school, to who should go to jail or receive scarce public benefits. Such decisions are both technical and moral. Today, the logic of high stakes software is rarely open to scrutiny, and central moral questions are often left for the technical experts to answer.