What do academics say about artificial intelligence ethics? An overview of the scholarship

Bakiner, Onur

doi:10.1007/s43681-022-00182-4

Cited by 13 publications

(4 citation statements)

References 77 publications

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“…Like all fields, the use of AI in academia has become evident in recent years, leading to serious debates. While studies highlighting the positive aspects of using AI in academia exist, there are also studies indicating its negative effects (Bakiner, 2023). This study specifically addresses the use of AI in academia, with a focus on investigating the relationship between academics' emotional states and unfair professional progression due to the use of AI.…”

Section: Findings and Discussionmentioning

confidence: 99%

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The relationship between personal and professional goals and emotional state in academia: a study on unethical use of artificial intelligence

Dolunay,

Temel

2024

Front. Psychol.

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Artificial Intelligence (AI) is a concept that has been a subfield of computer science since the 1950s. In recent years, with its growing development power, AI technologies have made significant progress and are now being used in many fields. Like in all areas, the use of AI technologies in academia has provided convenience to academics while also bringing ethical debates. In the literature part of the study, concepts such as AI, academia, academics and academic progress, ethics, ethical theories, academic ethics, and emotional states have been thoroughly examined and defined. In this study, starting from AI and scientific ethics, ethical issues arising from emotional states in academic research have been identified, and concrete solutions to these ethical issues have been proposed. The aim is to discuss the views of academics in order to determine what types of scientific ethical violations and prevention methods are involved. In this context, the semi-structured interview technique, which is one of the qualitative research methods, was preferred as the method. In the study, in-depth semi-structured interviews were conducted with 4 ethics experts and 4 psychology experts selected through snowball sampling technique. The data obtained through semi-structured in-depth interviews will be analyzed using content analysis. Within the context of the literature review and interviews: Ethics is based on the foundation of acting correctly. In this context, scientific ethics can be summarized as acting truthfully and honestly, not distorting data, and not trying to progress unfairly. The use of AI in academia is becoming increasingly widespread. From a positive perspective, this usage significantly contributes to making studies more practical. However, it can lead to problems such as unfair authorship, devaluation of human authorship, and incorrect data. The connection between academics’ professional advancement goals and emotional states becomes prominent in this context. The potential of AI to facilitate progression can lead to unethical use. To prevent such situations, it is recommended to organize training sessions to increase professional awareness, internalize ethics personally, establish ethical committees specific to the field of AI, conduct more effective audits by academic publication and promotion committees, and implement specific regulations for AI. Finally, for future academic studies, it is suggested that the usage of AI in academic research be measured and evaluated by ethics experts. For psychologists, conducting surveys with academics to explore how they use AI in the context of their emotional states and professional advancement goals is recommended.

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Section: Findings and Discussionmentioning

confidence: 99%

Section: Instead Of Conclusion: “Academic Ethics Emotions and Future?”mentioning

confidence: 99%

The relationship between personal and professional goals and emotional state in academia: a study on unethical use of artificial intelligence

Dolunay,

Temel

2024

Front. Psychol.

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“…Labor rights and equitable access to AI are two categories of topics that are overlooked when it comes to the discussion of ethics in AI. In [49], this point is supported by the finding that the existing literature on ethical issues in AI rarely focuses on the topics of poverty, labor exploitation, and global inequality, despite being considered significant problems by some. Addressing these issues is essential to safeguard human rights in the age of AI, as they base principles of equality, non-discrimination, education, and economic opportunity, promoting a more just and inclusive society.…”

Section: B Human Rights Implicationsmentioning

confidence: 96%

Bridging the Gap Between Ethical AI Implementations

Alahmed,

Abadla,

Ameen

et al. 2023

ijmst

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This paper aims to investigate the existence of artificial intelligence (AI) and its employment has been around for decades, and while it has optimized and advanced various domains of human labour, its developing capabilities have gradually extended into sectors that involve human behaviour and cognition. Naturally, its rapid integration into fields that require unique human behavior, such as creative writing in educational settings, critical thinking, empathetic communication in therapeutic contexts, and many more, has raised ethical issues and concerns from many different aspects throughout the years. In this paper, the ethical implications of AI across various domains and its consequences on societal values, privacy considerations, and human rights are thoroughly examined. Moreover, it highlights the need for robust guidelines, criticizing current frameworks for their lack of enforceability. Examining real-world cases, like IBM Watson's errors and Tesla's autopilot incidents, the paper stresses the urgency for practical and enforceable solutions. A systematic literature review methodology was applied to identify, evaluate, and synthesize existing literature on AI ethics, encompassing aspects like education, healthcare, and social interaction. The findings show the urgent need for robust ethical frameworks that prioritize societal values, privacy, and human rights.

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“…Two common approaches to implementing morality in AI are utilitarianism and deontology [3]. Utilitarianism suggests that the best action is the one that generates the greatest overall good, focusing on the consequences of actions [16].…”

Section: Artificial Moral Systemsmentioning

confidence: 99%

Modelling Moral Decision-Making in a Contractualist Artificial Agent

Dalmasso,

Vidal,

Pretus

2024

Preprint

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As artificial intelligence (AI) systems become increasingly integrated into our daily lives, ensuring their ethical behavior is paramount. This paper introduces a novel approach to embedding moral cognition in AI based on contractualism, an ethical theory that deems actions appropriate if they can be justified based on the set of norms that govern interactions between pairs of agents. Our model, embodied in a robotic cleaning agent named Sweepy, makes decisions based on a combination of predefined norms and dynamic user feedback. This hybrid decision-making process allows Sweepy to align its behavior with individual user preferences, thereby enhancing user satisfaction. Through extensive simulations, we demonstrate Sweepy's capability to learn and adapt its actions across different scenarios, illustrating the model's robustness and flexibility. This study highlights the advantages of the contractualist approach over utilitarian and deontological models, particularly in their support of user autonomy and fairness. Our findings underscore the need to develop AI systems capable of making ethically sound decisions in complex, real-world environments, paving the way for more trustworthy and user-centric AI applications.

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What do academics say about artificial intelligence ethics? An overview of the scholarship

Cited by 13 publications

References 77 publications

The relationship between personal and professional goals and emotional state in academia: a study on unethical use of artificial intelligence

The relationship between personal and professional goals and emotional state in academia: a study on unethical use of artificial intelligence

Bridging the Gap Between Ethical AI Implementations

Modelling Moral Decision-Making in a Contractualist Artificial Agent

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