Overcoming Challenges in Regulatory Compliance with AI/ML Integration

EasyChair Preprint no. 12646

Abstract

As Artificial Intelligence (AI) and Machine Learning (ML) technologies become increasingly integrated into various industries, ensuring regulatory compliance poses significant challenges. This research paper explores the complexities involved in maintaining compliance while leveraging AI/ML systems. By analyzing existing literature and real-world case studies, this paper identifies key challenges and proposes strategies to overcome them. From data privacy concerns to interpretability issues, this paper provides insights into navigating the regulatory landscape in AI/ML integration.

Keyphrases: Artificial Intelligence, Compliance, machine learning, Regulatory Risk Management, risk assessment, Risk Mitigation

@Booklet{EasyChair:12646,
  author = {Derick Burns and Wahaj Ahmed},
  title = {Overcoming Challenges in Regulatory Compliance with AI/ML Integration},
  howpublished = {EasyChair Preprint no. 12646},

  year = {EasyChair, 2024}}