Privacy in the Age of Innovation

Ranadeep Reddy Palle has over 12 years of experience and specializes in the development of distributed and scalable Microservices. His proficiency extends to deploying these Microservices on major cloud platforms like AWS and Azure, always prioritizing strict adherence to privacy and cybersecurity standards. Ranadeep has contributed extensively to journals, particularly in critical domains such as machine learning, AI, Cloud Computing, and data analytics. Holding diverse certifications in both Amazon Web Services (AWS) and Microsoft Azure, he currently serves as a Senior Software Engineer at Zoom in Austin, TX. In this role, he leads a team in implementing cutting-edge solutions and plays a crucial part in the design and development of Microservices for Consent Management, ensuring compliance with global privacy regulations. Ranadeep holds a Master's degree in Computer Science from the University of Houston, Texas.   Krishna Chaitanya Rao Kathala is a prominent researcher in the field of Data Science, Analytics, Machine Learning, and AI, a Ph.D Candidate at the University of Massachusetts Amherst. With over 8 years of specialized experience in AI, Krishna's expertise covers a wide range of topics within Artificial Intelligence, including Generative AI, Ethics, Bias, Fairness, and Safe/Secure AI. He is a prolific scholar, having co-authored 2 books and secured more than 5 international patents. Additionally, Krishna has authored over 8 research papers published in prestigious journals. His influence in the academic and professional realms is widespread, often serving as a judge at more than 10 national and international events, including research symposiums and hackathons. Krishna also contributes actively to the academic community through roles on editorial boards, reviews, and program committees at various conferences. Krishna's merit in the field has led to invitations to speak at distinguished international forums such as the United Nations, the Ministry of Foreign Affairs Ukraine, UNESCO, UNDP, United Nations Women, the Office of the United Nations High Commissioner for Human Rights, and the Talent AI Foundation. His research excellence has been recognized with numerous significant awards and scholarships, highlighting his impactful contributions to AI and technology. He currently holds a leadership position as a Co-Chair at the Northeastern Educational Research Association, Inc., based in Boston, Massachusetts. Krishna is also an active member of the International Society for Technology in Education (ISTE) and the International Association of Engineers - Hong Kong. Beyond his research and professional activities, Krishna is deeply committed to mentoring, particularly focused on supporting first-generation, under-represented, and marginalized students in STEM fields. His dedication to fostering inclusivity and diversity within the tech community underscores his commitment to using his expertise to make a positive societal impact. Krishna holds a Masters degree in Data Science from University of Massachusetts Amherst.

1. INTRODUCTION.- 2. UNDERSTANDING AI AND ETHICS.- 3. INFORMATION SECURITY AND DATA PRIVACY LANDSCAPE.- 4. AI FOR THREAT DETECTION AND PREVENTION.-  5. PRIVACY-PRESERVING AI TECHNIQUES.- 6. DATA PROTECTION AND COMPLIANCE.- 7. SECURING AI MODELS.- 8. CASE STUDIES.- 9. AI IN DATA PRIVACY AND ETHICS.- 10. AI AND DATA SECURITY.- 11. BALANCE BETWEEN SECURITY AND PRIVACY.- 12. BEST PRACTICES AND RECOMMENDATIONS.- 13. FUTURE TRENDS AND CHALLENGES.