Ethical Design of Computers: From Semiconductors to IoT and Artificial Intelligence

• URL: http://arxiv.org/abs/2212.12508v1
• Date: Fri, 23 Dec 2022 18:08:30 GMT
• Title: Ethical Design of Computers: From Semiconductors to IoT and Artificial Intelligence
• Authors: Sudeep Pasricha, Marilyn Wolf
• Abstract summary: It is not immediately obvious how particular technical choices during the design and use of computing systems could be viewed from an ethical perspective. This article provides a perspective on the ethical challenges within semiconductor chip design, IoT applications, and the increasing use of artificial intelligence in the design processes, tools, and hardware-software stacks of these systems.
• Score: 5.596752018167751
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Computing systems are tightly integrated today into our professional, social, and private lives. An important consequence of this growing ubiquity of computing is that it can have significant ethical implications of which computing professionals should take account. In most real-world scenarios, it is not immediately obvious how particular technical choices during the design and use of computing systems could be viewed from an ethical perspective. This article provides a perspective on the ethical challenges within semiconductor chip design, IoT applications, and the increasing use of artificial intelligence in the design processes, tools, and hardware-software stacks of these systems.

Related papers

• Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges [55.82853124625841]
  Artificial General Intelligence (AGI) possesses the capacity to comprehend, learn, and execute tasks with human cognitive abilities. This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the Internet of Things. The application spectrum for AGI-infused IoT is broad, encompassing domains ranging from smart grids, residential environments, manufacturing, and transportation to environmental monitoring, agriculture, healthcare, and education.
  arXiv  Detail & Related papers  (2023-09-14T05:43:36Z)
• Brain-Inspired Computational Intelligence via Predictive Coding [89.6335791546526]
  Predictive coding (PC) has shown promising performance in machine intelligence tasks. PC can model information processing in different brain areas, can be used in cognitive control and robotics.
  arXiv  Detail & Related papers  (2023-08-15T16:37:16Z)
• Ethics in Computing Education: Challenges and Experience with Embedded Ethics [4.226118870861363]
  We reflect on the many challenges and questions with effectively integrating ethics into modern computing curricula. We describe a case study of integrating ethics modules into the computer engineering curricula at Colorado State University.
  arXiv  Detail & Related papers  (2023-03-22T21:00:25Z)
• Enabling Automated Machine Learning for Model-Driven AI Engineering [60.09869520679979]
  We propose a novel approach to enable Model-Driven Software Engineering and Model-Driven AI Engineering. In particular, we support Automated ML, thus assisting software engineers without deep AI knowledge in developing AI-intensive systems.
  arXiv  Detail & Related papers  (2022-03-06T10:12:56Z)
• Implementation of Ethically Aligned Design with Ethical User stories in SMART terminal Digitalization project: Use case Passenger Flow [10.14535590229829]
  This paper will review a research in an industrial setting, where Ethically Aligned Design practice, Ethical User Stories are used to transfer ethical requirements to ethical user stories. This project is in the field of maritime industry and concentrates on digitalization of port terminals.
  arXiv  Detail & Related papers  (2021-11-11T09:27:38Z)
• From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence [113.06484656032978]
  Article argues that embodied intelligence is a key driver for the advancement of machine learning technology. We highlight challenges and opportunities specific to embodied intelligence. We propose research directions which may significantly advance the state-of-the-art in robot learning.
  arXiv  Detail & Related papers  (2021-10-28T16:04:01Z)
• Federated Learning for Industrial Internet of Things in Future Industries [106.13524161081355]
  The Industrial Internet of Things (IIoT) offers promising opportunities to transform the operation of industrial systems. Recently, artificial intelligence (AI) has been widely utilized for realizing intelligent IIoT applications. Federated Learning (FL) is particularly attractive for intelligent IIoT networks by coordinating multiple IIoT devices and machines to perform AI training at the network edge.
  arXiv  Detail & Related papers  (2021-05-31T01:02:59Z)
• An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
  This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence. The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
  arXiv  Detail & Related papers  (2021-05-07T12:01:31Z)
• Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence [1.2437226707039446]
  Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence. This paper analyzes the trade-offs by covering the latest developments (up to 2020) on scaling and distributing ML across cloud, edge, and IoT devices.
  arXiv  Detail & Related papers  (2020-12-01T11:42:34Z)
• Artificial Intelligent Ethics in the Digital Era: an Engineering Ethical Framework Proposal [0.0]
  We discuss the purpose of promoting trust and ensure social benefit by the proper use of Artificial Intelligent Systems. We propose a generic ethical technological framework as a first attempt to define a common context towards developing real engineering ethical by design.
  arXiv  Detail & Related papers  (2020-02-18T17:09:36Z)
• Trustworthy AI in the Age of Pervasive Computing and Big Data [22.92621391190282]
  We formalise the requirements of trustworthy AI systems through an ethics perspective. After discussing the state of research and the remaining challenges, we show how a concrete use-case in smart cities can benefit from these methods.
  arXiv  Detail & Related papers  (2020-01-30T08:09:31Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.