Ethics of artificial intelligence

The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems. It is sometimes divided into a concern with the moral behavior of humans as they design, make, use and treat artificially intelligent systems, and a concern with the behavior of machines, in machine ethics. Ethics fields' approaches Robot ethics Robot ethics The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software. Not all robots function through AI systems and not all AI systems are robots. Robot ethics considers how machines may be used to harm or benefit humans, their impact on individual autonomy, and their effects on social justice. Machine ethics Machine ethics Machine ethics (or machine morality) is the field of research concerned with designing A

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A 3D indicator for guiding AI applications in the energy sector

Christophe Ballif, Marine Dominique C. Cauz, Laure-Emmanuelle Perret Aebi, Hugo James André Quest, Christian Rod, Alessandro Francesco Aldo Virtuani

The utilisation of Artificial Intelligence (AI) applications in the energy sector is gaining momentum, with increasingly intensive search for suitable, high-quality and trustworthy solutions that displayed promising results in research. The growing interest comes from decision makers of both the industry and policy domains, searching for applications to increase companies’ profitability, raise efficiency and facilitate the energy transition. This paper aims to provide a novel three-dimensional (3D) indicator for AI applications in the energy sector, based on their respective maturity level, regulatory risks and potential benefits. Case studies are used to exemplify the application of the 3D indicator, showcasing how the developed framework can be used to filter promising AI applications eligible for governmental funding or business development. In addition, the 3D indicator is used to rank AI applications considering different stakeholder preferences (risk-avoidance, profit-seeking, balanced). These results allow AI applications to be better categorised in the face of rapidly emerging national and intergovernmental AI strategies and regulations that constrain the use of AI applications in critical infrastructures.

2022

Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations

Pierre Dillenbourg, Alexis David Jacq, Ana Paiva

In order to collaborate with humans, robots are often provided with a Theory of Mind (ToM) architecture. Such architectures can be evaluated by humans perception of the robot's adaptations. However, humans sensitivities to these adaptations are not the one expected. In this paper, we introduce an interaction involving a robot with a human who design, element by element, the content of a short story. A second-order ToM reasoning aims at estimating user's perception of robot's intentions. We describe and compare three behaviors that rule the robot's decisions about the content of the story: the robot makes random decisions, the robot makes predictable decisions, and the robot makes adversarial decisions. The random condition involves no ToM, while the two others are involving 2nd-order ToM. We evaluate the ToM model with the ability to predict human decisions and compare the ability of the human to predict the robot given the different implemented behaviors. We then estimate the appreciation of the robot by the human, the visual attention of the human and his perceived mutual understanding with the robot. We found that our implementation of the adversarial behavior degraded the estimated interaction's quality. We link this observation with the lower perceived mutual understanding caused by the behavior. We also found that in this activity of story co-creation, subjects showed preferences for the random behavior.

ASSOC COMPUTING MACHINERY2018

IconoNET: a tool for automated bandwidth allocation planning

Boi Faltings, Christoph Frei, Pearl Pu Faltings

Communication networks are expected to offer a wide range of services to an increasingly large number of users, with a diverse range of quality of service. This calls for efficient control and management of these networks. In this paper, we address the problem of quality-of-service routing, more specifically the planning of bandwidth allocation to communication demands. Shortest path routing is the traditional technique applied to this problem. However, this can lead to poor network utilization and even congestion. We show how an abstraction technique combined with systematic search algorithms and heuristics derived from Artificial Intelligence make it possible to solve this problem more efficiently and in much tighter networks, in terms of bandwidth usage.

Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, USA2000

ENG-704: EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.

HUM-384: The ethics of robots

This course enables students to sharpen their proficiency in tackling ethical challenges linked to robots. Students acquire the competence to define a robot and identify ethical and legal questions linked to technology and to the increased use of robots in society.

CS-450: Advanced algorithms

A first graduate course in algorithms, this course assumes minimal background, but moves rapidly. The objective is to learn the main techniques of algorithm analysis and design, while building a repertory of basic algorithmic solutions to problems in many domains.

Artificial intelligence

Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of human beings or animals. AI applications include advanced web search engines (e.g., Google

Technology

Technology is the application of knowledge for achieving practical goals in a reproducible way. The word technology can also mean the products resulting from such efforts, including both tangible t

OpenAI

OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI, Inc. and its for-profit subsidiary corporation OpenAI, L.P.. OpenAI conducts research on art