This article examines ethical challenges like data privacy and algorithmic bias in financial platforms, suggesting frameworks for responsible innovation.
This article examines the ethical dimensions of distributed financial platforms, exploring the tension between technological innovation and ethical responsibility in their development and implementation. It shows four key ethical challenges: data privacy concerns in distributed architectures, algorithmic bias in financial decision-making, financial inclusion/exclusion dynamics, and systemic risks in interconnected platforms. The article proposes frameworks for embedding ethics into development processes through ethical design methodologies, stakeholder inclusion, ethics-centered testing approaches, and comprehensive transparency strategies. Evidence-based analysis identifies organizational structures and assessment tools that support ethical distributed system development. The article concludes by offering key ethical imperatives for financial platform engineers, suggesting future research directions, providing recommendations for industry and policy stakeholders, and presenting a vision for ethically-aligned financial technology innovation that balances technological advancement with societal values.
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Hemasree Koganti (2025) studied this question.
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