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Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability […]

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability