Understanding AI TRiSM

Understanding AI TRiSM and its crucial role now and in the future

Artificial Intelligence (AI) is gaining popularity at an excessive speed and many people are being more and more concerned about how this might effect… well, basically everything.

When AI is reshaping industries and societies, there's a growing apprehension about the potential implications of unchecked AI development. The fear of AI being wielded in ways that might not align with societal well-being has prompted a critical shift in the approach of technology developers. Nobody wants the movie Matrix to become a reality, right?

This new shift is marked by an increased emphasis on principles that prioritize trust, risk control, and security—collectively known as AI TRiSM (Trust, Risk, and Security Management). In this blog post, we delve into the reasons behind this transformation.

Understanding AI TRiSM

“By 2026, enterprises that apply TRiSM controls to AI applications will increase accuracy of their decision making by eliminating 80% of faulty and illegitimate information.” – Gartner 2024

AI TRiSM encapsulates three core principles that are paramount in ensuring the responsible use of AI.

Trust - Trust is the cornerstone of AI deployment. Users, businesses, and society at large must have confidence in AI systems. It is important for technology developers to put trust at the forefront of AI endeavors, focusing on transparency, ethical AI practices, and clear communication to build and maintain trust in AI-driven solutions.

Risk Management - AI systems, like any technology, are not immune to risks. These risks can range from biases in algorithms to unintended consequences. Companies should be committed to robust risk management practices, constantly evaluating and mitigating potential risks associated with our AI technologies. By proactively addressing risks, we can all ensure the reliability and safety of AI applications.

Security Management - Security is non-negotiable in the AI landscape. Protecting AI systems from external threats and ensuring the privacy of user data are paramount.

Why AI TRiSM Matters

AI TRiSM is not merely a set of principles; it's a compass that guides the ethical and responsible development of AI.

Ethical standards - AI TRiSM ensures that AI development adheres to ethical standards, promoting fairness, accountability, and transparency.

Trust - Trust is earned, and with AI TRiSM, companies should aim to earn the trust of the users.

Mitigating Risks - Every technology comes with risks, and AI is no exception. AI TRiSM allows us to identify, assess, and mitigate risks effectively, ensuring the responsible use of AI in diverse applications.

Securing Data and Systems - Security should always be a top priority. Companies working with AI should always take comprehensive measures to secure AI systems, protecting user data and ensuring the resilience of our AI technologies against potential threats.

Overall, AI TRiSM serves as a guiding principle, steering the course toward responsible, ethical, and secure AI solutions.

At Dstny, we understand the value of staying on top of these subjects, not just being adherents, but instead being a part of shaping a future where the AI landscape prioritizes trust, effectively manages risks, and ensures the security of AI-driven technologies.

Read more about Dstny’s own AI driven bot and how letting agents and AI work together can improve and streamline customer care: https://www.dstny.com/products/omnichannel