The teaching of computer ethics on computer science and related degree programmes. a European survey

Stavrakakis, Ioannis; Gordon, Damian; Tierney, Brendan; Becevel, Anna; Murphy, Emma; Dodig-Crnković, Gordana; Dobrin, Radu; Schiaffonati, Viola; Pereira, Cristina; Tikhonenko, Svetlana; Gibson, Jo; Maag, Stéphane; Agresta, Francesco; Curley, Andrea; Collins, Michael P.; O’Sullivan, Dympna

doi:10.1007/s40889-021-00135-1

Cited by 12 publications

(4 citation statements)

References 35 publications

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“…Indeed, some ethical statements in these guidelines are meaningless without the proper ethical acculturation. For example, ethical education in computer science degrees in Europe is often a standalone subject with limited hours (Stavrakakis et al, 2022 ). The discourse often addresses stakeholders' responsibilities (using terms such as ‘should’ or ‘shall’).…”

Section: Discussionmentioning

confidence: 99%

AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare

Arbelaez Ossa,

Milford,

Rost

et al. 2024

Sci Eng Ethics

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While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there are increasing promises regarding AI’s beneficial outputs and concerns about the challenges of human–computer interaction in healthcare. To address these concerns, institutions have increasingly resorted to publishing AI guidelines for healthcare, aiming to align AI with ethical practices. However, guidelines as a form of written language can be analyzed to recognize the reciprocal links between its textual communication and underlying societal ideas. From this perspective, we conducted a discourse analysis to understand how these guidelines construct, articulate, and frame ethics for AI in healthcare. We included eight guidelines and identified three prevalent and interwoven discourses: (1) AI is unavoidable and desirable; (2) AI needs to be guided with (some forms of) principles (3) trust in AI is instrumental and primary. These discourses signal an over-spillage of technical ideals to AI ethics, such as over-optimism and resulting hyper-criticism. This research provides insights into the underlying ideas present in AI guidelines and how guidelines influence the practice and alignment of AI with ethical, legal, and societal values expected to shape AI in healthcare.

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Section: Discussionmentioning

confidence: 99%

AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare

Arbelaez Ossa,

Milford,

Rost

et al. 2024

Sci Eng Ethics

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show abstract

“…In a study conducted in Europe in 2020 about the teaching of ethics in computer science or related programs, 36% of the respondents report that their institutions did not teach ethics. However, the ones that did teach them, they did so in AI and related areas (64%), and machine learning and related topics (51%) [20].…”

Section: What Do the Universities Teach?mentioning

confidence: 99%

Towards an ELSA Curriculum for Data Scientists

Christoforaki,

Beyan

2024

Preprint

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The use of Artificial Intelligence (AI) applications in a growing number of domains in the latest years has put into focus Ethical Legal and Societal Aspects (ELSA) of these technologies and the relevant challenges they pose. In this paper, we propose an ELSA Curriculum for Data Scientists aiming to raise awareness about ELSA challenges in their work, provide them with a common language with the relevant domain experts to cooperate to find appropriate solutions, and finally, incorporate ELSA in the data science workflow and not be seen as an impediment or a superfluous artifact, rather than an integral part of the Data Science Project Lifecycle. The proposed curriculum uses the CRISP-DM model as a backbone to define a vertical partition, expressed in modules corresponding to the CRISP-DM phases. The horizontal partition includes knowledge units belonging to three strands that run through the phases, namely Ethical and Societal, Legal, and Technical Rendering Knowledge Units (KUs). In addition to the detailed description of the aforementioned KUs, we also discuss the implementation, issues such as duration, form, and evaluation of participants, as well as the variance of the knowledge level and needs of the target audience.

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“…In a study conducted in Europe in 2020 about the teaching of ethics in computer science or related programs, 36% of the respondents reported that their institutions did not teach ethics. However, the ones that did teach them did so in AI and related areas (64%) and machine learning and related topics (51%) [31].…”

Section: What Do the Universities Teach?mentioning

confidence: 99%

Towards an ELSA Curriculum for Data Scientists

Christoforaki,

Beyan

2024

View full text Add to dashboard Cite

The use of artificial intelligence (AI) applications in a growing number of domains in recent years has put into focus the ethical, legal, and societal aspects (ELSA) of these technologies and the relevant challenges they pose. In this paper, we propose an ELSA curriculum for data scientists aiming to raise awareness about ELSA challenges in their work, provide them with a common language with the relevant domain experts in order to cooperate to find appropriate solutions, and finally, incorporate ELSA in the data science workflow. ELSA should not be seen as an impediment or a superfluous artefact but rather as an integral part of the Data Science Project Lifecycle. The proposed curriculum uses the CRISP-DM (CRoss-Industry Standard Process for Data Mining) model as a backbone to define a vertical partition expressed in modules corresponding to the CRISP-DM phases. The horizontal partition includes knowledge units belonging to three strands that run through the phases, namely ethical and societal, legal and technical rendering knowledge units (KUs). In addition to the detailed description of the aforementioned KUs, we also discuss their implementation, issues such as duration, form, and evaluation of participants, as well as the variance of the knowledge level and needs of the target audience.

show abstract

The teaching of computer ethics on computer science and related degree programmes. a European survey

Cited by 12 publications

References 35 publications

AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare

AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare

Towards an ELSA Curriculum for Data Scientists

Towards an ELSA Curriculum for Data Scientists

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