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"The rise of artificial intelligence (AI) has produced an abundance of benefits across industries, from detecting fraud in finance to improving supply chains in manufacturing. But as AI systems become increasingly complex, it can be difficult to understand how they reach their decisions, and there is growing concern about the possibility of unintended bias or discrimination. In order to address these issues, researchers are exploring new methods for building more transparent and explainable AI systems."
The increasing complexity of artificial intelligence (AI) systems has led to concerns about unintended bias or discrimination and difficulty in understanding their decision-making. Researchers are therefore exploring new methods to create more transparent and explainable AI systems to address these issues. Despite the benefits AI has brought to many industries, it is essential to ensure that it operates ethically and without bias.