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How to Build Transparent AI Systems That Improve Trust and Compliance

If this seems familiar to you, stop me: An organization specializing in artificial intelligence development has hired you, and you are enthusiastic about the prospects of a novel AI system. You anticipate innovation, enhanced decision-making, and optimized operations. Eventually, concerns arise about the AI's decision-making process. Could you clarify it? Is it morally justifiable? Are laws like GDPR and HIPAA being followed? The rising utilization of AI is simultaneously amplifying concerns regarding transparency, trust, and compliance. Individuals are increasingly wary of transparent AI systems that make decisions without providing explanations. Simultaneously, regulators are augmenting restrictions, necessitating businesses to improve accountability for the functioning of their AI systems.  For an artificial intelligence consultant or a firm developing AI solutions, prioritizing transparency is essential to adhere to regulatory requirements and cultivate client confidence. This
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