SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Algorethics in Healthcare: Balancing Innovation and Integrity in AI Development
12 references·0 citing·49 second hop
Algorethics in Healthcare: Balancing Innovation and Integrity in AI Development (2024)Algorethics in Healthcare: Balancing Inno…Navigating the future of health care with AI-driven digital therapeutics (2024)Navigating the future of heal…Ethical AI in practice: Balancing technological advancements with human values (2024)Ethical AI in practice: Balan…Addressing AI Algorithmic Bias in Health Care (2024)Addressing AI Algorithmic Bia…The urgency of an algorethics (2023)The urgency of an algorethicsNatural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review (2023)Natural Language Processing i…Multidisciplinary considerations of fairness in medical AI: A scoping review (2023)Multidisciplinary considerati…Ethical issues of the use of AI-driven mobile apps for education (2023)Ethical issues of the use of …An Overview of Artificial Intelligence Ethics (2022)An Overview of Artificial Int…Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms (2022)Algorithm Auditing: Managing …AI Ethics: Algorithmic Determinism or Self-Determination? The GPDR Approach (2021)AI Ethics: Algorithmic Determ…Ethics of Artificial Intelligence: Research Challenges and Potential Solutions (2020)Ethics of Artificial Intellig…IEEE P7003™ standard for algorithmic bias considerations (2018)IEEE P7003™ standard for algo…IEEE standard review — Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems (2017)The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (2019)Empowering Digital Innovation by Diverse Leadership in ICT – A Roadmap to a Better Value System in Computer Algorithms (2022)How artificial intelligence adopts human biases: the case of cosmetic skincare industry (2023)Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance (2024)Semantics derived automatically from language corpora contain human-like biases (2017)Society-in-the-loop: programming the algorithmic social contract (2017)The Role and Limits of Principles in AI Ethics (2019)A comprehensive survey and classification of evaluation criteria for trustworthy artificial intelligence (2024)Equality of Opportunity in Supervised Learning (2016)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Principles alone cannot guarantee ethical AI (2019)Framework for Evaluating Ethics in AI (2023)Why Do Companies Employ Prohibited Unethical Artificial Intelligence Practices? (2023)Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems (2024)The global landscape of AI ethics guidelines (2019)Bridging the Gap Between Ethics and Practice (2020)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)A Practical Guide to Conversation Research: How to Study What People Say to Each Other (2023)Adopting artificial intelligence in sustainable business (2023)Measuring responsible artificial intelligence (RAI) in banking: a valid and reliable instrument (2023)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)The future of employment: How susceptible are jobs to computerisation? (2016)Human-AI interaction research agenda: A user-centered perspective (2024)The digital divide in action: how experiences of digital technology shape future relationships with artificial intelligence (2024)Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students (2025)Ethical challenges of edtech, big data and personalized learning: twenty-first century student sorting and tracking (2018)Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation (2018)Neural machine translation in foreign language teaching and learning: a systematic review (2022)A Constructivist Approach to Integrating AI in Marketing Education: Bridging Theory and Practice (2024)Are skepticism and moderation dominating attitudes toward AI‐based technologies? (2024)How generative artificial intelligence has blurred notions of authorial identity and academic norms in higher education, necessitating clear university usage policies (2024)Scoping studies: towards a methodological framework (2005)Scoping studies: advancing the methodology (2010)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Identifying and mitigating algorithmic bias in the safety net (2025)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Leveraging technology and financial literacy for women’s empowerment in SMEs: A conceptual framework for sustainable development (2024)THE ROLE OF AI IN FINANCIAL MARKET DEVELOPMENT: ENHANCING EFFICIENCY AND ACCESSIBILITY IN EMERGING ECONOMIES (2024)THE STRATEGIC VALUE OF BUSINESS ANALYSTS IN ENHANCING ORGANIZATIONAL EFFICIENCY AND OPERATIONS (2024)Addressing Bias in Artificial Intelligence in Health Care (2019)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation (2025)Biases in AI: acknowledging and addressing the inevitable ethical issues (2025)From Tool to Agent: A Semi-Systematic Review of Human–AI Alignment and a Proposed Tiered Healing Ecosystem for Mental Health (2026)Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions (2024)Bibliometric analysis of natural language processing using CiteSpace and VOSviewer (2024)Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study (2025)
this work references cited by second hop

References

  • 2022An Overview of Artificial Intelligence Ethics495 cited
  • 2023Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review407 cited
  • 2023Ethical issues of the use of AI-driven mobile apps for education173 cited
  • 2024Addressing AI Algorithmic Bias in Health Care114 cited
  • 2024Ethical AI in practice: Balancing technological advancements with human values62 cited
  • 2022Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms55 cited
  • 2021AI Ethics: Algorithmic Determinism or Self-Determination? The GPDR Approach46 cited
  • 2018IEEE P7003™ standard for algorithmic bias considerations34 cited
  • 2023Multidisciplinary considerations of fairness in medical AI: A scoping review26 cited
  • 2020Ethics of Artificial Intelligence: Research Challenges and Potential Solutions24 cited
  • 2024Navigating the future of health care with AI-driven digital therapeutics20 cited
  • 2023The urgency of an algorethics18 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work