Ethics of using AI Tools

AI tools offer abundance of new functionalities, yet their utilization also sparks ethical concerns. AI systems tend to reinforce existing knowledge, raising questions about their ethical implications. The fact is machine learning algorithms, the backbone of advanced AI tools, derive their intelligence from the data they are trained on. Given that humans curate this training data, the risk of introducing bias into machine learning models is inherent and monitoring is practically challenging. AI's ethical challenges include bias stemming from inadequately trained algorithms and human predispositions, misuse, exemplified by deep fakes and phishing and Data privacy apprehensions, notably prevalent in banking, healthcare, and legal domains.