The private and community sectors are increasingly turning to artificial intelligence (AI) systems and machine learning algorithms to automate simple and composite decision-making processes. The mass-scale digitization of data and the up-and-coming technologies that use them are upsetting most economic sectors, including transportation, retail, advertising, and energy, and other areas. AI is also having an impact on social equality and governance as computerized systems are being deployed to improve accuracy and drive objectivity in government functions. Algorithms are harness volumes of macro- and micro-data to manipulate decisions affecting people in a range of tasks, from making movie recommendations to helping banks determine the creditworthiness of individuals. The algorithm bias is as an online recruitment tools, online ads, facial recognition technology, and criminal justice algorithms. The bias detection strategy is even when flaws in the training data are corrected; the results may still be problematic because context matters during the bias detection phase.

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Keywords: AI, Facial Recognition, Decision-Making Process, Online Recruitment Tools, Machine Learning.