AI TRiSM

Next time you wonder if you can trust ChatGPT or any other model, find a team to implement AI TRiSM practices and tools to answer that critical question. There’s no reason you have to operate in the dark. As AI models proliferate, we expect AI TRiSM methods and tools will be more commonly adopted by teams across the enterprise involved in AI. The AI TRiSM framework helps identify, monitor and reduce potential risks associated with AI technology in organizations – including the buzzy generative and adaptive AIs. By using this framework, organisations can ensure compliance with all relevant regulations and data privacy laws. The rule of Wild Wild West still runs the Regulations and data privacy rules. An adaption to the law or personal data protection isn’t, unfortunately, always the first step the AI Giants do follow. Often, it’s all about the Penalty first, Adaption second. According to Gartner, organisations that introduce AI TRiSM into business operations of AI models can see a 50% improvement in adoption rates due to the model’s accuracy. The four pillars, Explainability, Operations, Security and Privacy, build trust with its customers while benefiting from artificial intelligence’s upcoming technologies. The AI TRiSM market is still new and fragmented, and most enterprises don’t apply TRiSM methodologies and tools until models are deployed. That’s shortsighted because building trustworthiness into models from the outset – during the design and development phase – will lead to better model performance.