Prema Vibhute is a seasoned professional. With a background in technical communication and project management, she has cultivated a career focused on ensuring clarity and precision in the documentation realm and user experience.

In a conversation with Keerthana H K, Correspondent, CIO Insider Magazine, Prema Vibhute, Director at Comviva, shared her views and thoughts on what measures should be implemented against potential security risks associated with AI in documentation. Also, how AI technologies can contribute to maintaining the quality and consistency of documentation across an organization.

What challenges might arise during the integration of AI into documentation workflows, and how would you address them?
I see the following three main concerns with AI documentation be it review or content:
• Lack of Domain Specificity: Generic AI models may lack domain-specific knowledge, leading to inaccuracies in understanding and generating specialized documentation.

• User Resistance: Users may resist adopting AI tools in their documentation workflows due to unfamiliarity, fear of job displacement, or skepticism about AI's capabilities.

• Ethical and Privacy Concerns: The use of AI in documentation may involve processing sensitive information, raising concerns about privacy and ethical considerations.

In your opinion, what measures should be implemented to address potential security risks associated with AI in documentation?
Addressing security risks associated with AI in documentation workflows is crucial to safeguard sensitive information and maintain the integrity of the documentation process. It regularly reassesses and updates security measures to adapt to evolving threats and technology changes.

• Access Control: I would suggest employing robust access control mechanisms to restrict access to AI-powered documentation tools. Only authorized personnel should have access to sensitive documents and AI models. Implement role-based access controls to limit permissions based on job roles and responsibilities. Implement anomaly detection mechanisms to identify unusual patterns or behaviors in the documentation system. Unusual activities, such as unauthorized access attempts or abnormal usage patterns, could indicate a security threat.

• User Training and Awareness: Educate users about security best

practices, especially when interacting with AI-powered documentation tools. This includes recognizing phishing attempts, using strong passwords, and understanding the potential risks associated with sharing sensitive information.

• Vendor Security Assessment: If using third-party AI solutions, conduct thorough security assessments of the vendors. Ensure that they follow industry best practices for security and have measures in place to protect against potential threats.

How do AI technologies maintain the quality and consistency of documentation across an organization?
AI technologies can play a significant role in maintaining the quality and consistency of documentation across an organization. Here are some ways in which AI can contribute to this:

• Automated Editing and Proofreading: AI-powered grammar and style checking tools can automatically review and correct documentation for spelling, grammar, and style errors. This ensures that documents adhere to a consistent writing style and maintain high linguistic quality.

• Content Standardization: AI can assist in standardizing terminology and content across documentation. It can identify and suggest standardized terms, ensuring consistency in language usage and preventing variations that may lead to confusion.