Preference Learning


Book Description

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.




Ageing and Technology


Book Description

The booming increase of the senior population has become a social phenomenon and a challenge to our societies, and technological advances have undoubtedly contributed to improve the lives of elderly citizens in numerous aspects. In current debates on technology, however, the »human factor« is often largely ignored. The ageing individual is rather seen as a malfunctioning machine whose deficiencies must be diagnosed or as a set of limitations to be overcome by means of technological devices. This volume aims at focusing on the perspective of human beings deriving from the development and use of technology: this change of perspective - taking the human being and not technology first - may help us to become more sensitive to the ambivalences involved in the interaction between humans and technology, as well as to adapt technologies to the people that created the need for its existence, thus contributing to improve the quality of life of senior citizens.




Decisions with Multiple Objectives


Book Description

This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe their thoughts and feelings in order to make the critically important trade-offs between incommensurable objectives.




Cultures of Computer Game Concerns


Book Description

Biographical note: Estrid Sörensen is a Professor of Cultural Psychology and Anthropology of Knowledge at the Ruhr-University Bochum. She does research within Science & Technology Studies.




Fundamental Issues of Artificial Intelligence


Book Description

This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.




Human-Like Machine Intelligence


Book Description

This book, authored by an array of internationally recognised researchers, is of direct relevance to all those involved in Academia and Industry wanting to obtain insights into the topics at the forefront of the revolution in Artificial Intelligence and Cognitive Science.




Die Akzeptanz von Künstlicher Intelligenz in Personalauswahlverfahren. Bewerbermanagement im Zeitalter der Digitalisierung


Book Description

Bachelorarbeit aus dem Jahr 2022 im Fachbereich Führung und Personal - Recruiting, Note: 2,7, Fachhochschule Bonn-Rhein-Sieg in Sankt Augustin, Sprache: Deutsch, Abstract: Die Bachelorarbeit setzt sich mit dem Einsatz von Künstlicher Intelligenz im Bereich Recruiting auseinander. Dabei geht sie der Frage nach, ob Bewerberinnen und Bewerber bereit sind, solche Technologien zu akzeptieren. Zudem werden die Faktoren untersucht, die die Akzeptanz beziehungsweise die Ablehnung von KI in Personalauswahlverfahren bedingen. Das Thema Künstliche Intelligenz wird heutzutage immer öfter diskutiert. Künstliche Intelligenz ist in den letzten Jahren ein Teil von vielen Bereichen unseres Lebens geworden. Nicht nur Unternehmen, sondern auch Privatpersonen profitieren von dem Potenzial der neuen Technologien. Systeme die auf Künstliche Intelligenz basieren, wie zum Beispiel Siri, Alexa, Google-Übersetzer oder Navigationssysteme werden mittlerweile von immer mehrere Verbrauche-rinnen und Verbraucher genutzt. Auch Unternehmen investieren in diese neuen Technologien, um dadurch Vorteile wie Prozesse optimieren oder Kosten sparen zu genießen. Für die Arbeitswelt bedeutet Künstliche Intelligenz sowohl Chancen, als auch Risiken. Einerseits wird durch den Einsatz von KI-basierte Technologien die Arbeit erleichtert. Andererseits, besteht die Befürchtung, dass viele Arbeitnehmerinnen und Arbeitnehmer durch Maschinen zukünftig ersetzt werden. Für den Bereich Personalauswahl bietet Künstliche Intelligenz aktuell schon viele Lösungen. Diese Technologien sollen für Mitarbeiterinnen und Mitarbeiter in der Personalabteilug eine Hilfestellung geben, um ihnen zu ermöglichen, die besten Kandidatinnen und Kandidaten zu finden. Für Unternehmen sollen solche Technologien viele Vorteile bringen, aber wie wirkt sich den Einsatz von Künstliche Intelligenz auf die Bewerberinnen und Bewerber aus?




Patient Safety


Book Description

Americans should be able to count on receiving health care that is safe. To achieve this, a new health care delivery system is needed â€" a system that both prevents errors from occurring, and learns from them when they do occur. The development of such a system requires a commitment by all stakeholders to a culture of safety and to the development of improved information systems for the delivery of health care. This national health information infrastructure is needed to provide immediate access to complete patient information and decision-support tools for clinicians and their patients. In addition, this infrastructure must capture patient safety information as a by-product of care and use this information to design even safer delivery systems. Health data standards are both a critical and time-sensitive building block of the national health information infrastructure. Building on the Institute of Medicine reports To Err Is Human and Crossing the Quality Chasm, Patient Safety puts forward a road map for the development and adoption of key health care data standards to support both information exchange and the reporting and analysis of patient safety data.




Life Engineering


Book Description

Machine Intelligence is changing every aspect of our lives. Internet traffic and sensors in households, cars, and wearables provide data that oligopolistic companies collect and use to extract patterns of human behavior. Further, active digital assistants are taking over more and more of our everyday decisions. Humanity is on the verge of an evolutionary leap and it is time to determine if this development will benefit people’s wellbeing or will just mean the accumulation of capital and power with no regard for quality of life. This book integrates the perspectives of various disciplines that are striving to establish resilient foundations – computer science, economics and social sciences, political science, psychology, philosophy, neuroscience, ethics and religion – in order to clarify a number of positions and, as a result, objectify the discussions. Written by Hubert Osterle, a researcher working at the interface of these disciplines, the book promotes debate on the future of man and machine, on happiness and evolution and on the major changes brought about by digital technology. Last but not least, it is a manifesto calling for a new – integrated – discipline to be founded: life engineering. „If you want to think more deeply about what machine intelligence (aka AI) really means for humanity, you should read this book. Hubert Oesterle takes an amazingly broad and multi-disciplinary look at all relevant aspects, from the roots of human behavior to the impact advanced digital assistants might have on our daily lives (and who will control these assistants). Highly recommended!” Andreas Goeldi, Partner at btov Partners