Artificial intelligence (AI) and algorithmic decision-making systems analyze vast amounts of data and make predictive judgments that are becoming increasingly integral to various aspects of our daily lives. These technologies influence many critical areas, from hiring processes, where job seekers must tailor their resumes to pass AI-driven filters, to housing and financial loans, where algorithms determine eligibility. However, one of the most concerning applications of AI is within the realm of healthcare.

The healthcare sector has witnessed a 167% surge in AI adoption from 2019 to 2021. AI is revolutionizing healthcare by improving diagnostics, streamlining administrative tasks, and accelerating drug discovery. In diagnostics, AI algorithms analyze medical imaging data like X-rays and MRIs, aiding healthcare professionals in making accurate and swift diagnoses. Automatic Speech Recognition (ASR) technology, powered by AI, converts spoken language into written text, facilitating efficient documentation of medical information. Moreover, AI accelerates drug discovery by analyzing vast datasets to identify potential drug candidates and predict their efficacy. Additionally, AI streamlines administrative tasks such as billing and scheduling, enhancing operational efficiency within healthcare organizations.