also available as eBook

AI TO EYE

Artificial Intelligence, Machine Intelligence, User Experience, Human Experience, Work Experience, Human Responsibility, Creativity, Ethical Awareness, AI Privacy, Security, Intellectual Property, Data-Driven Societies

AI TO EYE: Between Code and Conscience offers a concise and vivid portrait of how artificial intelligence is reshaping contemporary society. In addition to insights drawn from literature and the wider cultural record, 14 short essays and a rich mosaic of voices from more than 40 interviews unite perspectives on this topic from science, industry, journalism, film, music, and the arts. Rather than explaining AI in technical terms, this volume presents a human-centered view of how people across disciplines experience the ongoing debate and apply this powerful technology. From education and media to healthcare and the creative industries, the contributors illuminate both the emerging opportunities and the challenges of an AI-driven world. AI TO EYE blends contemporary conversations with enduring ideas from culture and intellectual history to deliver a polyphonic and highly quotable cultural document that meets AI "eye to eye."

Dieser Titel ist für den Buchhandel auch über Distrinova erhältlich.

"... Ohne auf die gesellschaftlich ebenfalls relevanten Nachhaltigkeitsfragen (Energie- und Rohstoffverbrauch) einzugehen, wirft das Buch einen abwechslungsreichen Blick auf einige aus gesellschaftlicher Sicht zentrale Aspekte und Themen. Eine willkommene Einladung, der künstlichen Intelligenz gemäss dem Buchtitel «AI to eye» tiefer ins Auge zu schauen. Denn nur durch die kritische Auseinandersetzung mit realen KI-Anwendungen lernt man, ihre Stärken zu schätzen und ihre Schwächen zu kennen, um sie bei Bedarf als Werkzeug sinnvoll einsetzen zu können."
(Radomír Novotný, bulletin.ch 6/2026)

Zen Koh on goodreads, 16.8.2026:
AI TO EYE: Between Code and Conscience is an unusually thoughtful contribution to the crowded discussion around artificial intelligence. Edited by Robert Riener, the book brings together fourteen essays and more than forty voices across healthcare, disability, education, work, art, music, privacy, journalism, intellectual property, ethics and the nature of intelligence. Its strength is precisely this breadth. Rather than asking only what AI can do, it repeatedly returns to the more important question: "what should remain under human judgement and responsibility as machines become increasingly capable?"
The chapters I found most compelling are those on healthcare, education and work, privacy, journalism and intellectual property. They move beyond the simplistic "AI versus humans" framing and examine how AI changes professional judgement, trust, accountability and the skills we need to develop.
The book is also strongest when its humanism is practical rather than absolute. At times, some essays move too quickly from observing that current AI lacks lived experience, consciousness or genuine empathy to implying that such boundaries are permanent. Given how rapidly AI capabilities are evolving, I would have preferred a little more uncertainty here. We do not need to prove that machines can never create, understand or appear empathetic in order to argue that human agency, dignity and responsibility matter. That tension is actually what makes the book valuable.
My biggest takeaway is that as intelligence-like output becomes cheaper and more abundant, judgement becomes more valuable. The important question may soon be less "Can AI produce the answer?" and more "Who decides whether the answer should be trusted, acted upon and ultimately accepted responsibility for?"
AI TO EYE does not pretend to provide a final theory of artificial intelligence. It is better understood as a cultural and intellectual snapshot of an extraordinary moment, when the boundary between code and human agency is being renegotiated almost in real time. A stimulating and accessible read for anyone interested not only in where AI is heading, but in what its progress forces us to reconsider about ourselves. Highly recommended for the questions it makes difficult, rather than for the answers it makes comfortable.

Patricia on amazon.com, Sept 3, 2026
5 stars: Thoughtful & engaging read on AI and societal implications

"Eye to AI" (from the idiom "eye to eye") is a beautiful book written by Robert Riener that conveys the nuances around AI, including its dangers and potential in the fields of health, creativity, education, and so so much more. I recommend this reading for anyone working on AI and robotics (especially to high school and university students!)
I leave below two of my favorites quotes that express the tension around AI in the creative domain:
"Copyright protection must apply only top the work of real artists and composers. Purely AI-generated output should not qualify." - Robbert Baruch
"AI doesn't 'steal' ideas; it learns from existing works in much the same way that young artists learn, by studying galleries, engaging with mentors, and exploring creative communities." - Georges Khneysser

Podcast Wissenschaft hören

With our podcast Wissenschaft hören, we’d like to bring our publications to your ears: an overview of the main ideas in a scholarly work or an excerpt from a book, for example - presented as an audio discussion. AI makes it possible; we’re putting this new technology to use.

All content is authorized by the publisher and the authors. Listening instead of reading!

The podcast episode about this publication provides an overview of the content in the form of a dialogue. You can find it either below (see Supplementary Material) or on

Spotify
YouTube
Apple Podcasts
Amazon Music

  • Edition: 1., 2026
  • pages: 138 pages
  • Size in cm: 17.0 x 24.0
  • Binding Type: Klappenbroschur
  • ISBN: 978-3-7281-4228-3
  • Language: Englisch
  • Publication Type: Sammelband
  • Delivery Status: available

Supplemantary Material

Name File Type Access
Table of Contents / Inhaltsverzeichnis PDF Document
Extract / Leseprobe PDF Document
Podcast MP3
  • Price CHF 39.00 | € 42.00


Similar Products

Murat Karaboga | Nula Frei | Manuel Puppis | Daniel Vogler | Patric Raemy | Frank Ebbers | Greta ..
Deepfakes und manipulierte Realitäten

Desinformation, Identitätsmissbrauch, Facial Reenactment, Face Morphing, Face Swapping, Gesichtsgeneration, Full Body Puppetry, Deepfake-Audio

Die Imitation von Stimmen und Gesichtern mittels neuer KI-Technologien wird zunehmend einfacher – und die Resultate sind schon heute kaum mehr von echten Stimmen und Gesichtern zu unterscheiden. Diese Technologien bieten viele kreative und innovative Nutzungspotenziale, sowohl für Privatnutzende als auch für verschiedene Wirtschaftsbereiche. Andererseits sind Deepfake-Videos und Deepfake-Audios auch Quell zahlreicher Risiken: Sie können z.B. politische Desinformation vereinfachen, Mobbing Vorschub leisten und kriminelle Aktivitäten begünstigen.

Murat Karaboga | Nula Frei | Frank Ebbers | Sophia Rovelli | Michael Friedewald | Greta Runge
Automatisierte Erkennung von Stimme, Sprache und Gesicht

Biometrie, Gesichtserkennung, Spracherkennung, Smarte Lautsprecher, Jedermann-Identifikation, Emotionserkennung, Privatsphäre, Datenschutz, Social Scoring

Technologien zur Stimm-, Sprach- und Gesichtserkennung werden im Alltag bereits angewendet. Etwa in smarten Lautsprechern, die auf Kommando die gewünschte Musik abspielen oder Nutzerfragen beantworten, durch Strafverfolger zur Suche nach dem Gesicht von Verdächtigen in Videomaterial oder bei Bankkunden, die am Telefon anhand ihrer Stimme identifiziert werden.

The Magic of Computer Science

CHF 24.00 | € 22.80
Donald Kossmann
The Magic of Computer Science

Information Scientist, Computer Scientist, Information Technology, Computer Engineering, Computer Basics, Big Data, Data Science, Artificial Intelligence, AI, Software 2.0

We are living in the era of digital transformation. Computers are rapidly  becoming the most important tool for companies, science, society, and indeed our everyday life. We all need a basic understanding of Computer Science to make sense of the world, to make decisions, and to improve our lives.

Markus Christen | Clemens Mader | Johann Čas | Tarik Abou-Chadi | Abraham Bernstein | Nadja Braun Bi..
Wenn Algorithmen für uns entscheiden: Chancen und Risiken der künstlichen Intelligenz

Künstliche Intelligenz, KI-Technologien, digitale Transformation, Technikfolgenabschätzung, Fake News, Deep Learning, Predicting Policing

Computer werden leistungsfähiger und können komplizierte Probleme immer schneller lösen. Gleichzeitig stehen, dank Internet und Smartphones, grosse Mengen an Daten zur Verfügung. Beides fördert die Entwicklung von künstlicher Intelligenz (KI). Anspruchsvolle Aufgaben, an denen bisherige Computerprogramme gescheitert sind, löst künstliche Intelligenz scheinbar mühelos. Bekannte Beispiele sind KI-Systeme, die Sprachen übersetzen oder menschliche Gegner in Spielen aller Art bezwingen. Stetig wird die künstliche Intelligenz verbessert und übernimmt Tätigkeiten, die bisher Menschen vorbehalten waren, etwa Steuerbetrug identifizieren oder Krankheiten diagnostizieren. Künstliche Intelligenz gilt daher als wichtiger Treiber des digitalen Wandels.

Right-click to pin this infobox
Click outside to hide this infobox