According to a recent LinkedIn post from Trustible, Director of Machine Learning Engineering Anastassia Kornilova recently participated in a panel discussion on building AI systems that are transparent, accountable, and trusted by the public. The post links this discussion directly to Trustible’s day-to-day focus on AI governance practice.
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The company’s LinkedIn post highlights that having internal experts visible in forums where AI governance frameworks are being shaped may reinforce Trustible’s positioning as a practitioner-led player in this emerging field. For investors, increased involvement in policy and best-practice discussions could help the firm influence evolving standards, potentially improving long-term commercial opportunities in AI risk and compliance tooling.

