ETICA Workshop on Computer Ethics: Exploring Normative Issues

Stahl, Bernd Carsten; Flick, Catherine

doi:10.1007/978-3-642-20769-3_6

Cited by 5 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, 16% of the obtained investigations are validation studies, such as [27,45,46,47,25,24,48]. Additionally, there is a lack of Experience research (6%) such as [49,50,51,52] Solution Proposals (5%) such as [53,54,55] and Evaluation research publications (3%) such as [56,57,58,45]. Based on this information, it is evident that further investigations are necessary to fill the gaps between these research areas.…”

Section: • Rq2: Which Research Has Been Conducted On Ai Ethics and Wh...mentioning

confidence: 99%

SLM-AIE: A Systematic Literature Map of Artificial Intelligence Ethics

Atlam,

Almaliki,

Alfahaid

et al. 2024

Preprint

View full text Add to dashboard Cite

Artificial Intelligence (AI) has rapidly evolved and is increasingly impacting various aspects of life. This rapiddevelopment and deployment of AI technologies have raised significant ethical concerns. Recently, an increasingamount of research has been conducted with the aim to guarantee that AI technologies are developed and employedin a responsible, fair, and an ethical manner, Considering the possible risks and challenges they pose. However, tothe best of our knowledge, no thorough overview and categorization of the different kinds of research achieved onthis subject has been provided yet, even with the growing interest in the subject. To try and bridge this gap, theauthors conducted a systematic mapping of the literature to gain a broad understanding about this subject over thepast seven years (2017-2023). This process resulted in the determination of 127 primary studies that satisfied thecriteria for including and excluding papers that are relevant to the context of our study. Subsequently, these studieswere classified in light of their research type, contribution type, and research focus. The findings revealed that mostof the studies examined in this research were centered around defining AI ethics and its impact on humanity fromdifferent angles such as fairness, transparency and accountability.The findings also show that research is lacking inareas such as empirical evidences on AI ethics and principles, solutions to enforce an ethical AI development andevaluation of ethical AI solutions. This study aims to assist practitioners and domain experts in identifying areas ofcurrent research gaps and prospective directions for future investigations.

show abstract

Section: • Rq2: Which Research Has Been Conducted On Ai Ethics and Wh...mentioning

confidence: 99%

SLM-AIE: A Systematic Literature Map of Artificial Intelligence Ethics

Atlam,

Almaliki,

Alfahaid

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Finally, and more importantly from a normative perspective (Alzola, 2017; Stahl and Flick, 2011), research needs to bring in the different voices from society about how ethical boundaries need to be in place when it comes to the decision-making of AI-powered accounting systems (Dwivedi et al , 2019; Glikson and Woolley, 2020; Munoko et al , 2020). The role of cultural standards and, potentially, the role of the firm itself need to be revisited.…”

Section: Discussing Research Agenda In Five Areasmentioning

confidence: 99%

Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research

Losbichler

Lehner

2021

JAAR

View full text Add to dashboard Cite

PurposeLooking at the limits of artificial intelligence (AI) and controlling based on complexity and system-theoretical deliberations, the authors aimed to derive a future outlook of the possible applications and provide insights into a future complementary of human–machine information processing. Derived from these examples, the authors propose a research agenda in five areas to further the field.Design/methodology/approachThis article is conceptual in its nature, yet a theoretically informed semi-systematic literature review from various disciplines together with empirically validated future research questions provides the background of the overall narration.FindingsAI is found to be severely limited in its application to controlling and is discussed from the perspectives of complexity and cybernetics. A total of three such limits, namely the Bremermann limit, the problems with a partial detectability and controllability of complex systems and the inherent biases in the complementarity of human and machine information processing, are presented as salient and representative examples. The authors then go on and carefully illustrate how a human–machine collaboration could look like depending on the specifics of the task and the environment. With this, the authors propose different angles on future research that could revolutionise the application of AI in accounting leadership.Research limitations/implicationsFuture research on the value promises of AI in controlling needs to take into account physical and computational effects and may embrace a complexity lens.Practical implicationsAI may have severe limits in its application for accounting and controlling because of the vast amount of information in complex systems.Originality/valueThe research agenda consists of five areas that are derived from the previous discussion. These areas are as follows: organisational transformation, human–machine collaboration, regulation, technological innovation and ethical considerations. For each of these areas, the research questions, potential theoretical underpinnings as well as methodological considerations are provided.

show abstract

“…ETICA (EThical Issues of emerging iCt Applications) is a form of foresight analysis used by organizations like the European Commission (Floridi 2014) to guide policy-making decisions. At its core, ETICA identifies multiple possible futures that a particular technology may take and maps its social impacts (Stahl and Flick 2011). Unlike other foresight methods, ETICA explicitly distinguishes between the features that a technology has, the artefacts that encompass those features, and the application of those artefacts in its analysis (Stahl et al 2013).…”

Section: Government and Policy Planning Techniques (Etica)mentioning

confidence: 99%

Ethical Foresight Analysis: What It Is and Why It Is Needed?

Floridi

Strait

2021

Digital Ethics Lab Yearbook

View full text Add to dashboard Cite

An increasing number of technology firms are implementing processes to identify and evaluate the ethical risks of their systems and products. A key part of these review processes is to foresee potential impacts of these technologies on different groups of users. In this article, we use the expression Ethical Foresight Analysis (EFA) to refer to a variety of analytical strategies for anticipating or predicting the ethical issues that new technological artefacts, services, and applications may raise. This article examines several existing EFA methodologies currently in use. It identifies the purposes of ethical foresight, the kinds of methods that current methodologies employ, and the strengths and weaknesses of each of these current approaches. The conclusion is that a new kind of foresight analysis on the ethics of emerging technologies is both feasible and urgently needed.

show abstract

ETICA Workshop on Computer Ethics: Exploring Normative Issues

Cited by 5 publications

References 11 publications

SLM-AIE: A Systematic Literature Map of Artificial Intelligence Ethics

SLM-AIE: A Systematic Literature Map of Artificial Intelligence Ethics

Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research

Ethical Foresight Analysis: What It Is and Why It Is Needed?

Contact Info

Product

Resources

About