BABL AI and QuantPi unite for robust AI governance

Two prominent players in artificial intelligence (AI), BABL AI and QuantPi, have announced a strategic partnership to redefine the approach to AI trust and compliance. Known globally for its proficiency in AI system auditing, BABL AI will extend its audit services on QuantPi's AI Trust Platform under the new initiative. This shared endeavour is targeted at enabling customers from various industries to harness the full potential of AI while aptly managing the associated risks.

BABL AI clients opting to utilise QuantPi's platform for their audit services will benefit from comprehensive technical evaluations, ensuring paramount adherence to regulatory compliance and performance standards. A significant feature of the collaboration will involve executing thorough risk checks on key aspects like bias, robustness, and explainability. This will provide indispensable insights to organisations seeking to navigate the intricacies of AI deployment.

Shea Brown, CEO of BABL AI, spoke about the necessity of the partnership for achieving transparency in AI systems. Brown said, "As an AI and algorithm auditing firm, we need detailed visibility into companies' algorithmic systems to provide the level of assurance required by forthcoming standards and regulations. A partnership with QuantPi ensures we can get that visibility without disrupting their client's testing, monitoring, and governance workflows."

Philipp Adamidis, CEO of QuantPi, praised the synergy of the union. He stated, "What QuantPi brings in technical expertise to validate insights into the risks, benefits and compliance status of AI systems, BABL AI enhances through its in-depth industry knowledge into auditing and certifying AI systems. The partnership offers customers a truly holistic AI governance solution, which we are excited for!"

Since 2018, BABL AI has been a key figure in auditing and certifying AI systems, providing counsel on responsible AI operating procedures, and extending online education on associated topics. Its primary goal is to facilitate an algorithm development and deployment approach that emphasises the importance of human well-being.

Established in 2020 after seven years of intensive research, QuantPi offers organisations the ability to validate AI systems at a remarkable speed. It focuses on simplifying the complexity of AI systems by creating transparency and explainability in them through automated risk and performance assessments. As a result, these systems become closely compliant with regulations and internal guidelines.

By forging this partnership, BABL AI and QuantPi are paving the way for a new era in AI governance that is more robust, transparent, and trustworthy. In doing so, they are addressing the growing demand for comprehensive risk-check instruments necessary to maintain the delicate balance between the unfettered growth of AI-powered technologies and the need to protect and regulate their impact on businesses and societies at large.