Publisher's Synopsis
Navigating the intersection of AI policy, technology, and governance presents both a challenge and an opportunity in today's evolving digital landscape. As AI becomes more integrated in society, policymakers, engineers, and business owners must collaborate to ensure ethical, transparent, and equitable deployment. This intersection raises questions about data privacy, accountability, algorithmic bias, and the balance between innovation and regulation. Creating effective governance frameworks that keep up with technological advancements may maximize AI's benefits while mitigating its risks. Navigating the Intersection of AI Policy, Technology, and Governance delves into the complex landscape of artificial intelligence (AI) policy, examining the multifaceted challenges and opportunities posed by the rapid advancement of AI technologies. It provides a comprehensive analysis of the ethical, legal, and socio-economic implications of AI deployment across various sectors, including healthcare, finance, transportation, and national security. This book covers topics such as machine learning, ethics and law, and data science, and is a useful resource for government officials, policymakers, engineers, academicians, researchers, and data scientists.
