Computer Science> Computer Science > Impact of Software Developers’ Ethical Standards on Algorithmic Bias, Security, and Societal Trust in AI and Machine Learning Systems
Impact of Software Developers’ Ethical Standards on Algorithmic Bias, Security, and Societal Trust in AI and Machine Learning Systems
The current paper evaluates the role of the moral standards of software developers in forming the bias of the algorithms, the security, and the confidence of society in artificial intelligence (AI) and machine learning (ML) systems. Since AI is becoming an integral part of multiple important sectors, including healthcare, finance, or criminal justice, the judgment of developers regarding data, algorithms, and model design has considerable implications. Poor ethical standards may lead to distorted results, lack of security, and loss of trust. The work brings out major ethical values, such as fairness, accountability, transparency, and privacy, and looks at the discrepancy between the conceptual models and practice. It demonstrates that in many cases, algorithmic bias results of biased data and homogeneous development teams, and that, to mitigate it, a combination of both technical and stakeholder-inclusive design is needed. The issue of security, such as adversarial attack, data poisoning, and model theft, is exaggerated in cases where ethical diligence is not adhered to. Defenses, however, are enhanced by ethical standards in terms of transparency, explainability and systematic disclosure practices. To establish societal trust in AI, technical compliance is not the only way. It involves the involvement of the stakeholders, external audits, human control, and open communication. The paper presents the argument that ethical education, applied training and governance structures on organizational and policy level are necessary. Finally, it is important to consider the fact that, by integrating ethics into the development process, AI systems become just, safe, and trusted to the good of society. ... [Show More]Last updated: 1 month ago
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