As a game-changing technology, artificial intelligence (AI) has had a profound effect on human production, lives, and the advancement of society. But its quick progress has also brought with it moral conundrums stemming from both external profit-driven exploitation and internal technical constraints. This essay emphasizes the dialectical relationship between science, technology, and societal progress as it examines these topics under the prism of Marxist technological thinking. This study exposes the underlying concerns of AI, including as biases, technological alienation, and the prioritizing of profit over societal benefit, by looking at the internal and external causes of ethical difficulties. To address these challenges, the paper proposes a comprehensive governance framework encompassing ethical integration during AI’s research, design, experimental, promotion, and application phases. This paradigm seeks to minimize dangers, lessen alienation, and advance equitable and sustainable technology advancement by coordinating AI development with humanistic values and ethical standards. The study emphasizes how ethical concepts must be ingrained throughout AI’s development to guarantee that it serves societal interests and advances humankind as a whole.

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Navigating AI Ethical Dilemmas: A Marxist Technological Perspective and Governance Pathways

  • Mustafa Al-Asadi,
  • Shuaib Ayad Jasim Jasim,
  • Bharat Bhushan,
  • Mustafa Shwaish Al-Azzawi

摘要

As a game-changing technology, artificial intelligence (AI) has had a profound effect on human production, lives, and the advancement of society. But its quick progress has also brought with it moral conundrums stemming from both external profit-driven exploitation and internal technical constraints. This essay emphasizes the dialectical relationship between science, technology, and societal progress as it examines these topics under the prism of Marxist technological thinking. This study exposes the underlying concerns of AI, including as biases, technological alienation, and the prioritizing of profit over societal benefit, by looking at the internal and external causes of ethical difficulties. To address these challenges, the paper proposes a comprehensive governance framework encompassing ethical integration during AI’s research, design, experimental, promotion, and application phases. This paradigm seeks to minimize dangers, lessen alienation, and advance equitable and sustainable technology advancement by coordinating AI development with humanistic values and ethical standards. The study emphasizes how ethical concepts must be ingrained throughout AI’s development to guarantee that it serves societal interests and advances humankind as a whole.