Toward Ethical AIED

• URL: http://arxiv.org/abs/2203.07067v1
• Date: Fri, 11 Mar 2022 13:26:54 GMT
• Title: Toward Ethical AIED
• Authors: Kaska Porayska-Pomsta and Wayne Holmes
• Abstract summary: This paper presents the key conclusions to the forthcoming edited book on The Ethics of Artificial Intelligence in Education: Practices, Challenges and Debates (August 2022, Routlege) As well as highlighting the key contributions to the book, it discusses the key questions and the grand challenges for the field of AI in Education (AIED) The book itself presents diverse perspectives from outside and from within the AIED as a way of achieving a broad perspective in the key ethical issues for AIED.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents the key conclusions to the forthcoming edited book on The Ethics of Artificial Intelligence in Education: Practices, Challenges and Debates (August 2022, Routlege). As well as highlighting the key contributions to the book, it discusses the key questions and the grand challenges for the field of AI in Education (AIED)in the context of ethics and ethical practices within the field. The book itself presents diverse perspectives from outside and from within the AIED as a way of achieving a broad perspective in the key ethical issues for AIED and a deep understanding of work conducted to date by the AIED community.

Related papers

• Artificial Intelligence in Education: Ethical Considerations and Insights from Ancient Greek Philosophy [0.3108011671896571]
  The paper argues that while AI presents significant challenges, a balanced approach informed by classical philosophical thought can lead to an ethically sound transformation of education. It emphasizes the evolving role of teachers as facilitators and the importance of fostering student initiative in AI-rich environments.
  arXiv  Detail & Related papers  (2024-09-04T08:59:38Z)
• Raising AI Ethics Awareness through an AI Ethics Quiz for Software Practitioners [7.928588994077104]
  Research indicates a significant gap in practitioners' awareness and knowledge of AI ethics and ethical principles. We developed a software-based tool, the AI Ethics Quiz, to raise awareness and enhance the knowledge of AI ethics among software practitioners.
  arXiv  Detail & Related papers  (2024-08-28T23:36:13Z)
• Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making [69.44075077934914]
  "Responsible AI" emphasizes the critical nature of addressing biases within the development of a corporate culture. This thesis is structured around three fundamental pillars: understanding bias, mitigating bias, and accounting for bias. In line with open-source principles, we have released Bias On Demand and FairView as accessible Python packages.
  arXiv  Detail & Related papers  (2024-01-13T14:07:09Z)
• Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges [11.656193349991609]
  We conducted a survey aimed at understanding AI practitioners' awareness of AI ethics and their challenges in incorporating ethics. Based on 100 AI practitioners' responses, our findings indicate that majority of AI practitioners had a reasonable familiarity with the concept of AI ethics. Formal education/training was considered somewhat helpful in preparing practitioners to incorporate AI ethics.
  arXiv  Detail & Related papers  (2023-07-14T02:50:46Z)
• Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review [12.941478155592502]
  In recent years, numerous incidents have raised the profile of ethical issues in AI development and led to public concerns about the proliferation of AI technology in our everyday lives. We conducted a grounded theory literature review (GTLR) of 38 primary empirical studies that included AI practitioners' views on ethics in AI. We present a taxonomy of ethics in AI from practitioners' viewpoints to assist AI practitioners in identifying and understanding the different aspects of AI ethics.
  arXiv  Detail & Related papers  (2022-06-20T00:28:51Z)
• Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation [61.77881142275982]
  This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them. We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives. We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
  arXiv  Detail & Related papers  (2022-06-08T12:32:08Z)
• AiSocrates: Towards Answering Ethical Quandary Questions [51.53350252548668]
  AiSocrates is a system for deliberative exchange of different perspectives to an ethical quandary. We show that AiSocrates generates promising answers to ethical quandary questions with multiple perspectives. We argue that AiSocrates is a promising step toward developing an NLP system that incorporates human values explicitly by prompt instructions.
  arXiv  Detail & Related papers  (2022-05-12T09:52:59Z)
• Metaethical Perspectives on 'Benchmarking' AI Ethics [81.65697003067841]
  Benchmarks are seen as the cornerstone for measuring technical progress in Artificial Intelligence (AI) research. An increasingly prominent research area in AI is ethics, which currently has no set of benchmarks nor commonly accepted way for measuring the 'ethicality' of an AI system. We argue that it makes more sense to talk about 'values' rather than 'ethics' when considering the possible actions of present and future AI systems.
  arXiv  Detail & Related papers  (2022-04-11T14:36:39Z)
• 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)
• An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections [0.0]
  This paper offers a methodology to identify the needs of AI practitioners when it comes to confronting and resolving ethical challenges. We offer a grassroots approach to operational ethics based on dialog and mutualised responsibility.
  arXiv  Detail & Related papers  (2020-12-27T07:41:26Z)
• 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.