Artificial intelligence for human flourishing – Beyond principles for machine learning

Stahl, Bernd Carsten; Andreou, Andreas G.; Brey, Philip A.E.; Hatzakis, Tally; Кириченко, А. М.; Macnish, Kevin; Shaelou, Stéphanie Laulhé; Patel, Ayush; Ryan, Mark; Wright, David

doi:10.1016/j.jbusres.2020.11.030

Cited by 103 publications

(74 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In more methodological terms, AI can be defined as "a system's ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation" (Kaplan & Haenlein, 2019, p. 17). However, one should not assume that definitions of AI will be permanently stable given the conceptually challenging and changing nature of AI technologies (Stahl et al, 2021). AI in marketing has become increasingly important and is breaking new grounds in marketing research, strategy, and actions, customer relationships and experience (Davenport et al, 2020;Hoyer et al, 2020;Huang & Rust, 2021b;Kumar et al, 2019;Libai et al, 2020;Liu et al, 2019;Mustak et al, 2021;Puntoni et al, 2021).…”

Section: Ai In Marketingmentioning

confidence: 99%

“…A unifying characteristic of the discourse on AI ethics is the focus on high-level ethical principles and little reference to philosophical ethical theories (Stahl et al, 2021). However, the suitability and practicability of a predominantly principled approach is called into question (e.g., Hagendorff, 2020;Mittelstadt, 2019;Theodorou & Dignum, 2020).…”

Section: Ai Ethicsmentioning

confidence: 99%

“…Generally, the ethical principles related to AI cover ethical issues in respect to particular features of the technology or the consequences of its use (Stahl et al, 2021), which is in the tradition of computer and (information) technology ethics (e.g., Brey, 2000Brey, , 2012Moor, 1985Moor, , 2005Royakkers et al, 2018;Wright 2011). In the technology ethics context, Moor (2005) proposed a tripartite model for understanding technological revolutions that ranges from the introduction and permeation stages to the power stage.…”

Section: Ai Ethicsmentioning

confidence: 99%

“…3). As conceptualizations of the AI development stages are multi-faceted and deviate (Davenport et al, 2020;Huang & Rust, 2021b;Kaplan & Haenlein, 2019), they are also subject to temporal change (Stahl et al, 2021), and transitions between stages are rather fluid. Therefore, we simplistically refer to increasing levels of intelligence capturing the transition from cognitive (analytical, mechanical) to emotional (feeling) and social intelligence of AI systems and applications and an increasing degree of humanization.…”

Section: Interdependencies Between Ethical Principles and Levels Of Intelligencementioning

confidence: 99%

“…Given the substantial advancement and increasing prevalence of AI as well as its encompassing impact on the individual, economic, and societal levels, the debate on ethical principles and values guiding AI development and use has gained center stage (e.g., Cowls et al, 2021;Farisco et al, 2020;Floridi et al, 2018Hagendorff, 2020;Jobin et al, 2019;McLennan et al, 2020;Mittelstadt, 2019;Morley et al, 2020;Stahl et al, 2021). To date, the AI ethics landscape is rather fragmented and entails recurring principles (Jobin et al, 2019) that are of high-order, deontological nature (Hagendorff, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

Hermann

2021

J Bus Ethics

147

View full text Add to dashboard Cite

Artificial intelligence (AI) is (re)shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications (will) provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being.

show abstract

Section: Ai In Marketingmentioning

confidence: 99%

Section: Ai Ethicsmentioning

confidence: 99%

Section: Ai Ethicsmentioning

confidence: 99%

Section: Interdependencies Between Ethical Principles and Levels Of Intelligencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

Hermann

2021

J Bus Ethics

147

View full text Add to dashboard Cite

show abstract

A Simple Way to Comprehend the Difference and the Significance of Artificial Intelligence in Agriculture

Aggarwal,

Doshi,

Mijwil

et al. 2024

Intelligent Techniques for Predictive Data Analytics

View full text Add to dashboard Cite

AI Policy as a Response to AI Ethics? Addressing Ethical Issues in the Development of AI Policies in North Africa

Stahl

Leach

Oyeniji

et al. 2023

Social and Cultural Studies of Robots and AI

View full text Add to dashboard Cite

The recent exponential rate of AI development has led to a proliferation of AI national policies and strategies as global power blocs have sought to consolidate positions of strategic dominance. These policies have sought to promote the benefits and mitigate the risks of AI—and address ever more serious ethical concerns about these technologies. This raises the question of how countries less influential in the sphere of AI might seek to address such ethical issues themselves, and whether lessons can be learned from existing policies in addressing issues of ethics and human rights. From a consideration of the current AI ethics discourse and existing AI policies, the chapter goes on to explore how ethical concerns are addressed in the North African AI strategies and which gaps and opportunities in terms of coverage of ethical issues arise from the current state of these policies. We suggest that ethical issues should be addressed clearly in policy at the earliest possible stage to ensure that ethical standards are internally produced in line with social and cultural values, rather than being de facto applied by external actors.

show abstract

Artificial intelligence for human flourishing – Beyond principles for machine learning

Cited by 103 publications

References 50 publications

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective

A Simple Way to Comprehend the Difference and the Significance of Artificial Intelligence in Agriculture

AI Policy as a Response to AI Ethics? Addressing Ethical Issues in the Development of AI Policies in North Africa

Contact Info

Product

Resources

About