Ethical Considerations in Conversational AI: Addressing Bias, Privacy, and Transparency
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Abstract
Ethical considerations in the creation and use of conversational AI have recently come to the fore as the technology becomes more pervasive in daily life. the most important moral questions surrounding conversational AI, with an emphasis on privacy, openness, and bias. When it comes to sensitive applications like customer service, healthcare, and recruiting, AI systems that have been trained on biased datasets are more likely to produce unfair or discriminatory results. The collection and processing of massive volumes of personal data by AI systems raises concerns regarding privacy, data security, and user consent. Users may lose faith in AI-powered platforms if their decision-making and data-gathering processes are not made public. tackles these moral dilemmas and talks on ways to lessen the blow, such making sure AI models are fair, putting strong privacy safeguards in place, and encouraging more openness in how AI works. By outlining best practices for ethical Conversational AI research, this study hopes to pave the way for future technology advances that respect user rights and adhere to ethical standards.
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