(BigData 2024) 5 Steps for Enterprise Artificial Intelligence Governance and Compliance

In the era of deepening digitalization and intelligence, the field of ar
tificial intelligence (AI) has made tremendous progress in recent years. Along
with the widespread application of AI, there are challenges that AI technology
faces in terms of privacy, model algorithm security, ethics, and morality. The
implementation of artificial intelligence (AI) governance and compliance
measures by enterprises is crucial for ensuring the healthy, responsible, and sus
tainable application of AI technology. With the continuous improvement of AI
laws and regulations worldwide, enterprises must comply with these laws and
regulations to avoid legal litigation and fines. AI systems may bring various risks,
including data breaches, algorithm biases and decision errors, intellectual prop
erty infringement risks, etc. Through effective governance and compliance
measures, enterprises can identify, assess and manage these risks, which helps
protect their AI technology and data assets. AI governance requires companies
to improve the transparency and interpretability of AI systems, which is crucial
for building trust between users and regulatory agencies. Within a compliant
framework, enterprises can explore and implement AI technology more securely,
drive innovation in products and services, and gain a competitive advantage in
the market. Implementing AI governance and compliance measures in enterprises
helps ensure the proper use of AI technology and better utilize it to protect the
interests and reputation of the enterprise, achieving long-term success and
growth.