As more and more companies are incorporating artificial intelligence into their daily business, few consider how they’ll monitor or mitigate its potential biases and risks until after an issue is identified. On Techopia Live, host Sherry Aske spoke with Niraj Bhargava, the CEO of Ottawa’s NuEnergy AI, a software enterprise that aims to help organizations measure and manage trust in their AI technology. The following is an edited transcript of the interview.
OBJ: Niraj, what is your elevator pitch for NuEnergy AI?
NB: NuEnergy AI is Canada’s leader in AI governance. We uniquely dedicate our AI and governance experience and expertise to help build and deliver guardrails, so our clients can ethically take advantage of the power of AI.
Last month, NuEnergy AI announced the launch of our hosted Machine Trust Platform, which is designed to support the ethical and transparent governance and measurement of artificial intelligence deployments. The software platform is launched through a pilot with the RCMP. They’re the first testing department approved through ISED, (Innovation, Science and Economic Development Canada) and the Innovative Solutions Canada program to test the R&D innovation. After delivering an executive education program, NuEnergy AI is currently working with the RCMP to develop a framework and configure our Machine Trust Platform as part of our launch.
OBJ: How do you determine what responsible AI looks like?
NB: Great question. It’s not one size fits all. We co-create an AI governance framework for our clients that is based on their values, their compliance requirements and most importantly the perspectives of what is trustworthy in the eyes of their clients or key stakeholders. So we build a framework and configure the platform to the definition of responsible AI of our clients.
OBJ: How long has this been in the works for you guys? And were there any challenges in getting to this launch phase?
NB: It is over three years of R&D through the COVID period, and we’ve had a dedicated team focused on building this platform, testing, configuring and running pilots. Our platform is open, transparent and configurable – one place for self-evaluation on the governance and ethics of AI, but also the adoption of standards. We’ve been scouring the world for standards and frameworks, benchmarks, and accessing the best tools and techniques and having a dashboard to monitor the AI. The toolset we use is fully integrated, and they’re the best tools that we have found in the world that can actually monitor and measure AI on topics like bias, privacy and transparency.
OBJ: Now that it’s out there, what are the next steps? I know you mentioned you’re working with some guardrails with different government organizations. What will you be looking for in this next phase?
NB: Our clients’ AI use cases come in a lot of different forms. So we have different kinds of clients that are looking at …….