FRISS, the world’s most implemented solution for trust automation solutions at P&C insurers, is thrilled to announce its strategic collaboration with FIN-X, a renowned research initiative by the University of Applied Science Utrecht, focused on innovative technologies and responsible AI. This partnership underscores FRISS’ commitment to further advancing responsible AI practices within the insurance ecosystem, aligning with the company’s dedication to unleashing the full potential of AI technologies while mitigating risks.
In an ever-evolving landscape where AI plays a pivotal role in transforming the insurance sector, FRISS recognizes the importance of responsible AI development. The collaboration with FIN-X represents a significant step and aims to remain at the forefront of ethical and compliant use of artificial intelligence in insurance.
Continuous Commitment to Responsible AI
FRISS has always prioritized responsible AI practices, acknowledging the delicate balance between embracing innovation and complying with regulatory frameworks. In a recent blog post, titled “The Future of Responsible AI: Striking a Balance Between Regulation and Innovation,” FRISS elaborates on its philosophy and commitment to continuously improve its AI solutions.
The collaboration with FIN-X will enable FRISS to leverage the latest research and insights in responsible AI, ensuring that their solutions not only meet but exceed industry standards for ethical and compliant use of artificial intelligence.
Key Benefits for the Insurance Industry
FRISS is committed to incorporating the latest advancements in responsible AI into its solutions. The collaboration with FIN-X reinforces this commitment, ensuring that FRISS’s AI technologies adhere to the highest ethical standards.
Richard Bakker, Head of Data Science at FRISS, explains: “As we navigate the rapidly evolving landscape of AI in insurance, responsible innovation remains at the core of our mission. The collaboration with FIN-X represents a strategic partnership that will bring FRISS to new heights in ethical AI development, benefitting insurers and the industry as a whole.”
“At FIN-X, we are thrilled to partner with FRISS, a company known for its commitment to innovation and responsible AI, adds Dr. Martin van den Berg, Head of Research at FIN-X. “Together, we aim to contribute valuable insights to the ongoing dialogue surrounding ethical AI practices, and explainable AI in particular, in the insurance industry, fostering a culture of compliance and innovation.”
FRISS’s collaboration with FIN-X reaffirms its position as an industry leader dedicated to responsible AI. The insights gained from this partnership will not only benefit FRISS’s solutions but also contribute to the broader conversation on responsible AI in insurance.
Explainability of the outcomes and operation of AI systems is an important condition for safeguarding consumer and society confidence in AI, especially in the financial sector. In FIN-X, together with industry partners, we develop tools and guidelines to convert the outcomes and operation of complex AI systems into an understandable explanation for employees such as claims handlers and underwriters.
More info can be found at: Fin-X | HU University of Applied Sciences Utrecht
What would your processes look like if you could instantly trust your customers? Knowing when to trust keeps you in control of your processes – automating as much as possible. FRISS is the leading provider of Trust Automation Solutions for P&C insurers. Their real-time, data-driven scores and insights give instant confidence and understanding of the inherent risks of all customers and interactions.
Based on next generation technology, FRISS allows you to confidently manage trust throughout the insurance value chain – from the first quote all the way through claims and investigations when needed.
Because speed and convenience have altogether redefined what it means to serve consumers, it is time to start building the relationships your customers demand and deserve. Visit our website for more information: www.friss.com