AI TRiSM as the foundation of Responsible AI

The utilisation of Artificial Intelligence (AI) technology is expanding. Only the Almighty knows how far this technology can grow. The acceptance among the publics is well of course sensational but also bewildering. Let’s speak simple example of AI application, the virtual assistance, or for some of us, the more familiar name like Siri, Alexa, Cortana or Google Assistance. These assistance are undeniably helpful. They help us get direction, schedule events and many more. Beneficial as they can be, they also pose various risks. Here’s one for you; in 2020, Researchers at the Michigan State University (MSU) College of Engineering have been reportedly discovered a way for hackers to assign Apple’s Siri and Google Assistant against smartphone owners. Just imagine how other Ai technologies that can be manipulated and lost its main purpose to their adopters. Significantly, building AI Trust has been highlighted as a major concern by the AI developer, hence the rise of Responsible AI. This post discusses AI TRiSM as the foundation of Responsible AI.

Introducing Responsible AI

Responsible AI is a governance framework that incorporates a set of principles and normative declarations on how should an AI model or AI system be developed and deployed to comply with ethics and regulations. The principles in Responsible AI include:

• Transparency and interpretability – The decision making by an AI model should be easily understood by users people thus the outcome is understandable and explainable.
• Accountability – As AI technology has full potential of doing more than what it is designed for, it is important for organisations to designate a person accountable for compliancy with the established AI principles.
• Fairness – AI should treat data without bias that could be interpreted as discrimination or harmful outcome to human. Thus, an AI Model should be  accountability, safety and reliability as well as  security and privacy.
• Safety and reliability – The AI system should be able to operate in safe and reliable manners both in normal and unexpected conditions.
• Privacy and security – AI system should have abilities in protecting sensitive data

AI TRiSM as the Foundation of Responsible AI 

AI TRiSM is almost (*there is no one size fit all solution) every company’s right option in embedding AI Trust into an AI application through Responsible AI. The term AI TRiSM refers to AI Trust, Risk & Security Management. AI TRiSM encompasses every principle of Responsible AI where it support governance, trustworthiness, fairness, reliability, efficacy, security and privacy into AI operations. Thus, in order to establish Responsible AI, AI TRiSM need to be implemented in the beginning adoption of an AI Model to better protect AI and build trust into your application for the consumers. With AI TRiSM as the foundation of Responsible AI, companies can optimise their AI Trust through proactive risk management and reduce risk right from the start of AI application development.

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