The article discusses the ethical issues surrounding artificial intelligence (AI) and machine learning (ML) technologies. It highlights the lack of diverse teams responsible for developing these systems, which can lead to algorithmic bias affecting marginalized populations. To address this issue, companies should embrace fairness, transparency, and accountability in their hiring and research processes. Building diverse representation within data and engineering teams is crucial for mitigating negative impacts on society. Investing in a diverse workforce and overcoming the ethical deficit are essential steps towards ensuring that AI and ML technologies serve all people fairly and without harm.