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Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making
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Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making (2024)Ethical Implication of Artificial Intelli…AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility (2024)AI and ethics in business: A …A Unified Framework of Five Principles for AI in Society (2019)A Unified Framework of Five P…The Flash Crash: High‐Frequency Trading in an Electronic Market (2017)The Flash Crash: High‐Frequen…Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents (2013)Moore's Law versus Murphy's L…Human-Controllable AI: Meaningful Human Control (2025)Human-Controllable AI: Meanin…Emerging technologies in finance: challenges for a sustainable finance (2025)Emerging technologies in fina…Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation (2024)Ethical AI in Financial Inclu…Ethical AI and Decision-Making in Management Leadership (2024)Ethical AI and Decision-Makin…AI and ethical accounting: Navigating challenges and opportunities (2024)AI and ethical accounting: Na…I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Computing Machinery and Intelligence (1950) (2004)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Trustworthy AI: From Principles to Practices (2022)Trustworthy Artificial Intelligence: A Review (2022)Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)Continuous Auctions and Insider Trading (1985)Does Algorithmic Trading Improve Liquidity? (2011)Flow Toxicity and Liquidity in a High-frequency World (2012)Risk and Return in High Frequency Trading (2014)Algorithmic Trading and Market Quality: International Evidence (2020)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Pricing of Options and Corporate Liabilities (1973)Theory of Rational Option Pricing (1973)Can we have a general theory of financial innovation processes? A conceptual review (2018)A Survey of Fintech Research and Policy Discussion (2020)Barriers to adopting automated organisational decision-making through the use of artificial intelligence (2023)Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)A Survey on Bias and Fairness in Machine Learning (2021)AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems (2022)Enhancing manufacturing productivity: A review of AI-Driven supply chain management optimization and ERP systems integration (2024)Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review (2024)The role of AI-Driven predictive analytics in optimizing IT industry supply chains (2024)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Self-Reports in Organizational Research: Problems and Prospects (1986)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Financial Inclusion and Large Language Models (2025)The ethics of algorithms: Mapping the debate (2016)The global landscape of AI ethics guidelines (2019)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)How to conduct a bibliometric analysis: An overview and guidelines (2021)Humans and Automation: Use, Misuse, Disuse, Abuse (1997)Trust in Automation: Designing for Appropriate Reliance (2004)
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References

  • 2019A Unified Framework of Five Principles for AI in Society1,612 cited
  • 2017The Flash Crash: High‐Frequency Trading in an Electronic Market794 cited
  • 2013Moore's Law versus Murphy's Law: Algorithmic Trading and Its Discontents212 cited
  • 2024AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility65 cited

Cited by

  • 2024Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation37 cited
  • 2024AI and ethical accounting: Navigating challenges and opportunities27 cited
  • 2025Emerging technologies in finance: challenges for a sustainable finance26 cited
  • 2025Human-Controllable AI: Meaningful Human Control22 cited
  • 2024Ethical AI and Decision-Making in Management Leadership18 cited

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