Engineering Digital Systems for Humanity: a Research Roadmap

• URL: http://arxiv.org/abs/2412.19668v1
• Date: Fri, 27 Dec 2024 14:28:39 GMT
• Title: Engineering Digital Systems for Humanity: a Research Roadmap
• Authors: Marco Autili, Martina De Sanctis, Paola Inverardi, Patrizio Pelliccione,
• Abstract summary: Human, societal, and environmental values, alongside traditional software quality, are increasingly recognized as essential for sustainability and long-term well-being. Traditionally, systems are engineered taking into account business goals and technology drivers. This paper argues that engineering of systems should also consider human, societal, and environmental drivers.
• Score: 7.723463986102129
• License:
• Abstract: As testified by new regulations like the European AI Act, worries about the human and societal impact of (autonomous) software technologies are becoming of public concern. Human, societal, and environmental values, alongside traditional software quality, are increasingly recognized as essential for sustainability and long-term well-being. Traditionally, systems are engineered taking into account business goals and technology drivers. Considering the growing awareness in the community, in this paper, we argue that engineering of systems should also consider human, societal, and environmental drivers. Then, we identify the macro and technological challenges by focusing on humans and their role while co-existing with digital systems. The first challenge considers humans in a proactive role when interacting with digital systems, i.e., taking initiative in making things happen instead of reacting to events. The second concerns humans having a reactive role in interacting with digital systems, i.e., humans interacting with digital systems as a reaction to events. The third challenge focuses on humans with a passive role, i.e., they experience, enjoy or even suffer the decisions and/or actions of digital systems. The fourth challenge concerns the duality of trust and trustworthiness, with humans playing any role. Building on the new human, societal, and environmental drivers and the macro and technological challenges, we identify a research roadmap of digital systems for humanity. The research roadmap is concretized in a number of research directions organized into four groups: development process, requirements engineering, software architecture and design, and verification and validation.

Related papers

• Engineering Digital Systems for Humanity: Challenges and Opportunities [7.056824589733873]
  Social and human values, besides the traditional software behaviour and quality, are recognized as important for sustainability and long-term well-being. We identify macro and technological challenges and opportunities of present and future digital systems that should be engineered for humanity.
  arXiv  Detail & Related papers  (2024-06-13T12:53:59Z)
• Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions [67.60397632819202]
  Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal. We identify a set of underlying technical challenges and open questions for researchers across computing communities to advance Social-AI.
  arXiv  Detail & Related papers  (2024-04-17T02:57:42Z)
• Enabling High-Level Machine Reasoning with Cognitive Neuro-Symbolic Systems [67.01132165581667]
  We propose to enable high-level reasoning in AI systems by integrating cognitive architectures with external neuro-symbolic components. We illustrate a hybrid framework centered on ACT-R and we discuss the role of generative models in recent and future applications.
  arXiv  Detail & Related papers  (2023-11-13T21:20:17Z)
• Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities [4.466887678364242]
  Motivated by the need to address the security concerns in AI-Robotics systems, this paper presents a comprehensive survey and taxonomy across three dimensions. We begin by surveying potential attack surfaces and provide mitigating defensive strategies. We then delve into ethical issues, such as dependency and psychological impact, as well as the legal concerns regarding accountability for these systems.
  arXiv  Detail & Related papers  (2023-10-12T17:54:20Z)
• World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges [51.92834011423463]
  We focus on the two concepts of world models and predictive coding. In neuroscience, predictive coding proposes that the brain continuously predicts its inputs and adapts to model its own dynamics and control behavior in its environment.
  arXiv  Detail & Related papers  (2023-01-14T06:38:14Z)
• Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing [80.72844751804166]
  In 2021, the Coordinated Science Laboratory CSL hosted the Future of Computing Symposium to celebrate its 70th anniversary. We summarize the major technological points, insights, and directions that speakers brought forward during the symposium. Participants discussed topics related to new computing paradigms, technologies, algorithms, behaviors, and research challenges to be expected in the future.
  arXiv  Detail & Related papers  (2022-10-04T17:32:27Z)
• A Survey on Human-aware Robot Navigation [22.926878248788558]
  This paper is concerned with the navigation aspect of a socially-compliant robot. It provides a survey of existing solutions for the relevant areas of research as well as an outlook on possible future directions.
  arXiv  Detail & Related papers  (2021-06-22T10:09:25Z)
• Future of work: ethics [0.0]
  Over-automation seems to be the driver of the digitalization process. Digital technology should be designed to enhance human skills and make more productive use of human cognition and capacities.
  arXiv  Detail & Related papers  (2021-04-06T15:20:30Z)
• Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges [5.728709119947406]
  Key challenges include security, robustness, interpretability, and ethical challenges to a successful deployment of AI or ML in human-centric applications. Globally there are calls for technology to be made more humane and human-compatible.
  arXiv  Detail & Related papers  (2020-12-14T18:54:05Z)
• The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
  Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI. Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
  arXiv  Detail & Related papers  (2020-10-07T12:25:03Z)
• Learning to Complement Humans [67.38348247794949]
  A rising vision for AI in the open world centers on the development of systems that can complement humans for perceptual, diagnostic, and reasoning tasks. We demonstrate how an end-to-end learning strategy can be harnessed to optimize the combined performance of human-machine teams.
  arXiv  Detail & Related papers  (2020-05-01T20:00:23Z)

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.