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Characteristics and challenges in the industries towards responsible AI: a systematic literature review
16 references·13 citing·39 second hop
Characteristics and challenges in the industries towards responsible AI: a systematic literature review (2022)Characteristics and challenges in the ind…The Ethical Implications of Using Artificial Intelligence in Auditing (2020)The Ethical Implications of U…The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation (2020)The Chinese approach to artif…Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario (2020)Artificial Intelligence in th…Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications (2020)Artificial intelligence ethic…AI ethics should not remain toothless! A call to bring back the teeth of ethics (2020)AI ethics should not remain t…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Responsible Artificial Intelligence (2019)Responsible Artificial Intell…From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)From What to How: An Initial …AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI4People—An Ethical Framewor…The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity (2017)The Ugly Truth About Ourselve…Society-in-the-loop: programming the algorithmic social contract (2017)Society-in-the-loop: programm…Incorporating Ethics into Artificial Intelligence (2017)Incorporating Ethics into Art…The ethics of algorithms: Mapping the debate (2016)The ethics of algorithms: Map…Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach (2016)Artificial Intelligence and t…8. The Ethics of Information (2010)8. The Ethics of InformationFour Ethical Issues of the Information Age (1986)Four Ethical Issues of the In…Rethinking responsible AI from ethical pillars to sociotechnical practice (2025)Rethinking responsible AI fro…Inclusive Technology Co-design for Participatory AI (2025)Inclusive Technology Co-desig…Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success (2025)Ethical theories, governance …Ethical perceptions of generative AI use and employee work outcomes: Role of moral rumination and AI-supported autonomy (2025)Ethical perceptions of genera…A Systematic Review of Responsible Artificial Intelligence Principles and Practice (2025)A Systematic Review of Respon…Understanding AI Chatbot adoption in education: PLS-SEM analysis of user behavior factors (2024)Understanding AI Chatbot adop…Trustworthy AI: AI developers’ lens to implementation challenges and opportunities (2024)Trustworthy AI: AI developers…RAISE: leveraging responsible AI for service excellence (2024)RAISE: leveraging responsible…Exploring the landscape of trustworthy artificial intelligence: Status and challenges (2024)Exploring the landscape of tr…Accountability and Transparency Ensuring Responsible AI Development (2024)Accountability and Transparen…Which Industrial Sectors Are Affected by Artificial Intelligence? A Bibliometric Analysis of Trends and Perspectives (2023)Which Industrial Sectors Are …From Trustworthy Principles to a Trustworthy Development Process: The Need and Elements of Trusted Development of AI Systems (2023)From Trustworthy Principles t…Ethical content in artificial intelligence systems: A demand explained in three critical points (2023)Ethical content in artificial…Truth and Method (1960)Why Most Published Research Findings Are False (2005)Stanford Encyclopedia of Philosophy (2015)Artificial Intelligence and the Public Sector—Applications and Challenges (2018)Principles alone cannot guarantee ethical AI (2019)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)What is data ethics? (2016)Rulers of the world, unite! The challenges and opportunities of artificial intelligence (2019)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)The Black Box Society: The Secret Algorithms That Control Money and Information (2016)A Unified Framework of Five Principles for AI in Society (2019)Ethical framework for Artificial Intelligence and Digital technologies (2021)The ethics of algorithms: key problems and solutions (2021)The Ethics of Artificial Intelligence (2023)The structural transformation of the public sphere: an inquiry into a category of bourgeois society (1990)Cybernetics or Control and Communication in the Animal and the Machine (2019)Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021)AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022)Complacency and Bias in Human Use of Automation: An Attentional Integration (2010)Automation bias: a systematic review of frequency, effect mediators, and mitigators (2011)The future of employment: How susceptible are jobs to computerisation? (2016)A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021)Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking (2022)Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions (2019)A Unified Framework of Five Principles for AI in Society (2022)‘How Did They Get My Name?”: An Exploratory Investigation of Consumer Attitudes Toward Secondary Information Use (1993)An Empirical Examination of the Concern for Information Privacy Instrument (2002)Beyond concern—a privacy-trust-behavioral intention model of electronic commerce (2004)On the Opportunities and Risks of Foundation Models (2021)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)An Overview of Artificial Intelligence Ethics (2022)Thinking responsibly about responsible AI and ‘the dark side’ of AI (2022)Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making (2024)
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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2019Responsible Artificial Intelligence1,064 cited
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  • 2017Incorporating Ethics into Artificial Intelligence388 cited
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  • 2020Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications310 cited

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2020
Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario
293 cited
  • 2020AI ethics should not remain toothless! A call to bring back the teeth of ethics225 cited
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    • 2023Ethical content in artificial intelligence systems: A demand explained in three critical points35 cited
    • 2024RAISE: leveraging responsible AI for service excellence35 cited
    • 2024Accountability and Transparency Ensuring Responsible AI Development34 cited
    • 2025A Systematic Review of Responsible Artificial Intelligence Principles and Practice34 cited
    • 2025Rethinking responsible AI from ethical pillars to sociotechnical practice32 cited
    • 2025Ethical perceptions of generative AI use and employee work outcomes: Role of moral rumination and AI-supported autonomy24 cited
    • 2023From Trustworthy Principles to a Trustworthy Development Process: The Need and Elements of Trusted Development of AI Systems24 cited
    • 2024Understanding AI Chatbot adoption in education: PLS-SEM analysis of user behavior factors21 cited
    • 2025Inclusive Technology Co-design for Participatory AI17 cited
    • 2024Exploring the landscape of trustworthy artificial intelligence: Status and challenges17 cited
    • 2024Trustworthy AI: AI developers’ lens to implementation challenges and opportunities16 cited