Navigating Ethical Concerns In Ai Education To address these issues, this paper (1) briefly defines ai through the concepts of machine learning and algorithms; (2) introduces applications of ai in educational settings and benefits of ai systems to support students’ learning processes; (3) describes ethical challenges and dilemmas of using ai in education; and (4) addresses the teaching. For example, the phrase “ai ethics” may have been used in the manner of an author's secondary remark, like “ai, as well as ai ethics, is an important discussion.” −73 removed due to education not being a substantive focus −14 removed due to ethics not being within scope −12 removed due to a focus of ai for education −11 removed.
Mindfully Implementing Ai In Education Ethical And Practical Concerns Their study results shed light on four essential areas that teacher training and professional development could be strengthened to prepare ai competent educators, including (1) cognitive readiness in ai functions, ai roles in education, and relationship between ai and teachers; (2) ability in integrating ai into learning activities and. Hwang et al., (2020) identified four key roles of ai in education driven by an applications based perspective that espouses the position of ai as an intelligent tutor, tutee, learning tool partner, or policy making advisor. This article explores the ethical implications of ai in education, focusing on issues such as data privacy, algorithmic bias, equity, accountability, and the impact on human agency. by examining these challenges, the article argues for the development of robust ethical frameworks and policies to guide the responsible implementation of ai in. From the analysis of 25 peer reviewed studies published between 2010 and 2023, the authors map key themes and concerns relating to ai ethics in compulsory schooling. they also identify responses relating to the ethical use of ai, highlight research gaps and provide suggestions for future directions for researching ai ethics in k 12 education.
An Ethical Use Of Artificial Intelligence Ai In Education European This article explores the ethical implications of ai in education, focusing on issues such as data privacy, algorithmic bias, equity, accountability, and the impact on human agency. by examining these challenges, the article argues for the development of robust ethical frameworks and policies to guide the responsible implementation of ai in. From the analysis of 25 peer reviewed studies published between 2010 and 2023, the authors map key themes and concerns relating to ai ethics in compulsory schooling. they also identify responses relating to the ethical use of ai, highlight research gaps and provide suggestions for future directions for researching ai ethics in k 12 education. These documents articulate plans and expectations regarding how ai will impact policy sectors, including education, and typically discuss the social and ethical implications of ai. this article engages in thematic analysis of 24 such national ai policy strategies, reviewing the role of education in global ai policy discourse. In this paper, we first introduce issues around the ethics of ai in education. next, we summarise the contributions of the 17 respondents, and discuss the complex issues that they raised. specific outcomes include the recognition that most aied researchers are not trained to tackle the emerging ethical questions. We further identified four new ethical principles being employed that are unique to k 12 education, specifically: pedagogical appropriateness; children's rights; ai literacy; and teacher well being. This article, i look at the practicalities of ai in education and at the attendant ethical issues it raises. my key conclusion is that ai in the near to medium term future has the potential to enrich student learning and complement the work of (human) teachers without dispensing with them. in addition, ai should increasingly enable.
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