On the role of ethics and sustainability in business innovation

• URL: http://arxiv.org/abs/2404.07678v1
• Date: Thu, 11 Apr 2024 12:18:01 GMT
• Title: On the role of ethics and sustainability in business innovation
• Authors: Maria Fay, Frederik F. Flöther,
• Abstract summary: Existing innovation adoption frameworks often focus on technological, organizational, environmental, and social factors impacting adoption. In this chapter, we explore the ethical and sustainability angles, particularly as they relate to emerging technologies. We consider how to facilitate the development and cultivation of innovation cultures in organizations, including budding startups as well as established enterprises.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: For organizations to survive and flourish in the long term, innovation and novelty must be continually introduced, which is particularly true in today's rapidly changing world. This raises a variety of ethical and sustainability considerations that seldom receive the attention they deserve. Existing innovation adoption frameworks often focus on technological, organizational, environmental, and social factors impacting adoption. In this chapter, we explore the ethical and sustainability angles, particularly as they relate to emerging technologies, artificial intelligence (AI) being a prominent example. We consider how to facilitate the development and cultivation of innovation cultures in organizations, including budding startups as well as established enterprises, through approaches such as systems thinking.

Related papers

• Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences [50.9036832382286]
  We review the increased erosion of trust in AI research outputs, driven by the issues of poor reusability.<n>We discuss the fragmented components of the AI ecosystem and lack of guiding pathways to best support Open and Sustainable AI.<n>Our work connects researchers with relevant AI resources, facilitating the implementation of sustainable, reusable and transparent AI.
  arXiv  Detail & Related papers  (2025-05-22T12:52:34Z)
• Enterprise Architecture as a Dynamic Capability for Scalable and Sustainable Generative AI adoption: Bridging Innovation and Governance in Large Organisations [55.2480439325792]
  Generative Artificial Intelligence is a powerful new technology with the potential to boost innovation and reshape governance in many industries.<n>However, organisations face major challenges in scaling GenAI, including technology complexity, governance gaps and resource misalignments.<n>This study explores how Enterprise Architecture Management can meet the complex requirements of GenAI adoption within large enterprises.
  arXiv  Detail & Related papers  (2025-05-09T07:41:33Z)
• Safety is Essential for Responsible Open-Ended Systems [47.172735322186]
  Open-Endedness is the ability of AI systems to continuously and autonomously generate novel and diverse artifacts or solutions. This position paper argues that the inherently dynamic and self-propagating nature of Open-Ended AI introduces significant, underexplored risks.
  arXiv  Detail & Related papers  (2025-02-06T21:32:07Z)
• Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground [55.2480439325792]
  I argue that efforts to promote responsible and ethical AI can inadvertently contribute to and seemingly legitimize this disregard for established contextual norms. I question the current narrow prioritization in AI ethics of moral innovation over moral preservation.
  arXiv  Detail & Related papers  (2024-12-06T15:36:13Z)
• From Principles to Practice: A Deep Dive into AI Ethics and Regulations [13.753819576072127]
  The article thoroughly analyzes the ground-breaking AI regulatory framework proposed by the European Union. Considering the technical efforts and strategies undertaken by academics and industry to uphold these principles, we explore the synergies and conflicts among the five ethical principles.
  arXiv  Detail & Related papers  (2024-12-06T00:46:20Z)
• Business and Regulatory Responses to Artificial Intelligence: Dynamic Regulation, Innovation Ecosystems and the Strategic Management of Disruptive Technology [0.0]
  This article identifies two promising strategies for meeting the AI challenge. First, dynamic regulation, in the form of regulatory sandboxes and other regulatory approaches that aim to provide a space for responsible AI-related innovation. The second strategy relates to so-called innovation ecosystems. It is argued that such ecosystems are most effective when they afford opportunities for creative partnerships between well-established corporations and AI-focused startups.
  arXiv  Detail & Related papers  (2024-07-28T09:34:03Z)
• Contemporary Software Modernization: Perspectives and Challenges to Deal with Legacy Systems [48.33168695898682]
  "Software modernization" emerged as a research topic in the early 2000s. Despite the large amount of work available in the literature, there are significant limitations.
  arXiv  Detail & Related papers  (2024-07-04T15:49:52Z)
• Innovating for Tomorrow: The Convergence of SE and Green AI [2.013374581642707]
  Machine learning is changing the frontiers of existing software engineering processes. We reflect on the impact of adopting environmentally friendly practices to create AI-enabled software systems.
  arXiv  Detail & Related papers  (2024-06-26T07:47:04Z)
• Towards an Ethical and Inclusive Implementation of Artificial Intelligence in Organizations: A Multidimensional Framework [0.0]
  This article analyzes the impact of artificial intelligence on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. Various actors, such as governments, academics, and civil society, can play a role in shaping the development of AI aligned with human and social values.
  arXiv  Detail & Related papers  (2024-05-02T19:43:51Z)
• Hacia una implementación ética e inclusiva de la Inteligencia Artificial en las organizaciones: un marco multidimensional [0.0]
  The article analyzes the impact of artificial intelligence on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. Various actors, such as governments, academics and civil society, can play a role in shaping the development of AI aligned with human and social values.
  arXiv  Detail & Related papers  (2024-04-30T22:11:05Z)
• Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice [63.20307830884542]
  Next several decades may well be a turning point for humanity, comparable to the industrial revolution. Launched a decade ago, the project is committed to a perpetual series of studies by multidisciplinary experts. We offer ten recommendations for action that collectively address both the short- and long-term potential impacts of AI technologies.
  arXiv  Detail & Related papers  (2024-04-06T22:18:31Z)
• Open-world Machine Learning: A Review and New Outlooks [83.6401132743407]
  This paper aims to provide a comprehensive introduction to the emerging open-world machine learning paradigm. It aims to help researchers build more powerful AI systems in their respective fields, and to promote the development of artificial general intelligence.
  arXiv  Detail & Related papers  (2024-03-04T06:25:26Z)
• A New Innovation Concept on End user Contextual and Behavioural Perspectives [0.0]
  The phenomenon of innovation has been shifting away from focusing on tangible to intangible modernization with its vitalizing context. This study proposes a new concept that will act as an overarching descriptor of innovation types.
  arXiv  Detail & Related papers  (2021-10-09T10:45:10Z)
• Empowered and Embedded: Ethics and Agile Processes [60.63670249088117]
  We argue that ethical considerations need to be embedded into the (agile) software development process. We put emphasis on the possibility to implement ethical deliberations in already existing and well established agile software development processes.
  arXiv  Detail & Related papers  (2021-07-15T11:14:03Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• 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)

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.