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HOME / RESOURCES / NEWS AND TRENDS / ISACA NOW BLOG / 2024 / NAVIGATING THE AI
MAZE AN IT AUDITORS GUIDE UTILIZING ISACAS DIGITAL TRUST ECOSYSTEM FRAMEWORK


NAVIGATING THE AI MAZE: AN IT AUDITOR’S GUIDE UTILIZING ISACA’S DIGITAL TRUST
ECOSYSTEM FRAMEWORK

Author: Chidambaram Narayanan, CISA, Chartered Accountant, Azure Cybersecurity
Architect Expert (SC-100)
Date Published: 13 May 2024



 To paraphrase Spiderman’s Uncle Ben: “With great power comes a labyrinth of
responsibilities & challenges.”

Artificial intelligence (AI) is no longer science fiction. It is revolutionizing
industries, from healthcare and finance to manufacturing and customer service.
However, as IT auditors, ensuring responsible AI that benefits the organization
and its stakeholders is paramount, thereby ensuring that enterprise decisions
are aligned with strategic goals and that IT resources are adequately managed.
This alignment requires careful navigation guided by the six core principles of
responsible AI, based on frameworks independently developed by Microsoft and
IBM: fairness, accountability, transparency, safety, privacy and human
oversight/inclusiveness.

But navigating the complexities of AI and ensuring its responsible
implementation can feel like venturing into a labyrinth. This is where ISACA's
Digital Trust Ecosystem Framework (DTEF) comes in. ISACA's recent white paper
Using the Digital Trust Ecosystem Framework to Achieve Trustworthy AI can be a
compass for IT auditors. It serves as a beacon guiding us through the
complexities of AI adoption and implementation while upholding the six core
principles of responsible AI. DTEF also is cohesive with established industry
frameworks such as COBIT and COSO, ensuring a comprehensive approach to
evaluating compliance with enterprise policy and industry regulatory guidance.


WHY RESPONSIBLE AI AUDITS MATTER

Imagine AI-powered diagnostics personalizing patient treatment or chatbots
handling customer inquiries with human-like efficiency. These are just a few
possibilities, but ensuring responsible AI development is crucial for several
reasons:

 * Fairness and non-discrimination: IT auditors can leverage DTEF to assess
   potential bias in AI models. We can review data sets for imbalances and test
   algorithms for fairness, mitigating discriminatory outcomes.
 * Accountability and human oversight: DTEF emphasizes clear lines of
   accountability. IT auditors will be able to map stakeholders involved in AI
   development and deployment, ensuring human oversight and ethical
   decision-making.
 * Transparency and explainability: “Black box” AI models erode trust. DTEF
   promotes Explainable AI (XAI). IT auditors can assess the interpretability of
   AI models, understanding how they arrive at decisions.
 * Safety and security: AI systems are susceptible to cyberattacks. IT auditors
   could deploy DTEF to assess the security of AI systems and data, employing
   vulnerability testing and penetration testing to identify and mitigate risks.
 * Privacy and data governance: AI relies on data, but privacy concerns are
   paramount. IT auditors can review and alert the makers to ensure responsible
   data collection, storage and usage practices according to DTEF and relevant
   regulations.


DTEF: A HOLISTIC FRAMEWORK FOR RESPONSIBLE AI AUDITS

DTEF provides a holistic framework for building and maintaining responsible AI
throughout the lifecycle. It considers not just technology, but also people,
processes and organizational culture, ensuring alignment with the six core
principles. Here’s how IT auditors can leverage DTEF:

 * Understanding your business environment: DTEF encourages defining AI vision,
   mission and goals. IT auditors ensure alignment between AI initiatives and
   overall business strategy, fostering responsible development.
 * Mapping your digital landscape: DTEF promotes identifying existing AI assets,
   stakeholders and user touchpoints. IT auditors use this mapping to pinpoint
   potential trust gaps and areas needing focus on fairness, transparency and
   privacy.
 * Developing a digital trust strategy: Based on the business and digital
   landscape understanding, DTEF helps develop a strategic plan for building
   responsible AI. IT auditors can use DTEF to identify key performance
   indicators (KPIs) to measure progress on fairness, accountability,
   transparency and other principles.
 * Implementation and continuous improvement: DTEF emphasizes an iterative
   approach. IT auditors can collaborate with developers to pilot AI projects,
   monitor their impact on trust and adherence to the six principles, and
   continuously refine the strategy based on learnings.


BEYOND THE FRAMEWORK: ADDITIONAL CONSIDERATIONS FOR RESPONSIBLE AI

While DTEF offers a valuable roadmap, here are some additional tips:

 * Invest in Explainable AI (XAI): Promote the development of AI models that are
   interpretable, aligning with the transparency principle of DTEF.
 * Prioritize human oversight: AI should augment human judgment. Maintain human
   oversight loops to ensure ethical decision-making and mitigate potential
   risks.
 * Foster a culture of trust: Open communication and employee buy-in are
   crucial. Educate your workforce on AI and its implications, addressing any
   concerns.


ENSURE THAT AI BENEFITS YOUR ORGANIZATION

AI holds immense potential, but navigating its complexities requires a
well-defined strategy grounded in the six core principles. ISACA's DTEF empowers
IT auditors to play a vital role in assessing the governing structures put in
place to build responsible AI. By leveraging DTEF, we can ensure AI benefits the
organization, fosters trust with stakeholders and adheres to ethical
considerations. Remember, AI is a powerful tool, and with the right guidance, we
can navigate the AI maze responsibly and reach the destination of success.

About the author: Chidambaram Narayanan is a highly experienced internal auditor
with over 20 years of expertise in accounting & audit disciplines. He
specializes in both financial and IT domains, having served Fortune 500
companies across diverse industries including manufacturing, automotive,
engineering, and retail.Mr. Narayanan is a Chartered Accountant and holds a
comprehensive suite of certifications, including CISA and the Microsoft
Cybersecurity Expert (SC-100). He currently contributes his leadership as a
Board Member for the ISACA Muscat Chapter.


ADDITIONAL RESOURCES

WEBPAGE


ARTIFICIAL INTELLIGENCE TRAINING AND RESOURCES

Build AI skills at any level. Access articles, whitepapers, and publications.
Explore new training courses and discover how to harness AI's power for success.

BOOK


DIGITAL TRUST ECOSYSTEM FRAMEWORK EBOOK | DIGITAL | ENGLISH

In the digital economy, the foundation of enterprise success lies in cultivating
trusted and valuable relationships, interactions, and transactions.

WHITE PAPER


USING DTEF TO ACHIEVE TRUSTWORTHY AI

This white paper explores the benefits of using ISACA’s Digital Trust Ecosystem
Framework (DTEF) for enterprises adopting artificial intelligence (AI)-enabled
technologies and services.

30 April 2024

BLOG POST


A BETTER PATH FORWARD FOR AI BY ADDRESSING TRAINING, GOVERNANCE AND RISK GAPS

New ISACA survey data on artificial intelligence realities show that companies
need to ramp up training and policies to deal with emerging risks from the
powerful technology.

7 May 2024

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