Ethical Implications of Artificial Intelligence in Promoting Sustainable Clean Energy Solutions

Abstract

The integration of artificial intelligence (AI) in promoting sustainable clean energy solutions holds significant potential for addressing global environmental challenges. This study explores the ethical implications of AI deployment in the clean energy sector, focusing on data privacy, algorithmic bias, accountability, transparency, and job displacement. Through a comprehensive analysis of case studies, interviews, and thematic analysis, the study reveals both the benefits and risks associated with AI in enhancing energy efficiency and sustainability. The findings underscore the necessity for robust ethical frameworks and policies to ensure responsible AI implementation. Key recommendations include developing advanced data privacy strategies, reducing algorithmic bias, improving accountability and transparency, and fostering human-AI collaboration. These measures are essential for maximizing the benefits of AI while minimizing potential risks, thereby ensuring that AI technologies contribute positively to sustainable energy solutions.