Artificial Intelligence and Insurance
Artificial intelligence is making its mark on the insurance industry, helping companies work smarter and serve customers better. From speeding up claims to spotting fraud and tailoring policies, insurers are finding creative ways to put AI to use. But with new technology come new challenges around fairness and trust. You'll find breaking news, insights, op-eds from top thought-leaders, and annual/quarterly rankings of how artificial intelligence and insurance intersect — and what it means for the future of the insurance industry.
-
Digital Insurance spoke with Angela Orbann, vice president of property, PI product management at Travelers about how technology can optimize a home insurance policy and how artificial intelligence and satellite imagery is helping insurers.
October 14
-
In other news: Allstate closes $400M sale of New York life, annuity business; USAA partners with Blink by Chubb; Zurich North America implements Chisel AI.
October 8
-
Three years ago, Amazon.com Inc. issued an invitation that seemed too good to pass up: Start your own company and earn as much as $300,000 a year delivering packages for the world’s largest online retailer.
October 7
-
As regulators and insurers work to understand the level of regulatory oversight that is needed for AI innovation, there is a path forward by looking to the recent past. The massive 2015 breach of Anthem’s customer data was a catalyst moment for insurance regulators and led to the Insurance Data Security Model Law now being adopted across the U.S. In this piece, former insurance regulator Jillian Froment lays out five core goals common to AI and cybersecurity that could accelerate the adoption of AI regulation.
September 28
Monitaur -
In other news: Amerisure implements One Inc ClaimsPay tech; California drivers report distracted driving is getting worse; HSB adds social media income to home cyber protection.
September 27
-
Jerry launched a car insurance comparison service in 2019 using artificial intelligence and machine learning. The company has more than 1 million customers across the U.S. and has expansion plans.
September 22
-
The pandemic has served as a catalyst for putting digital transformation across insurance on the fast track, and claims is one of the focus areas that is primed for implementing digital capabilities. As more claims information is captured and managed digitally, new opportunities to leverage artificial intelligent technologies arise. This leads to a vision of full automation, high levels of straight-through processing, and (logically) a diminishing role for claims professionals.
September 21
ReSource Pro
AI: Key Questions & Analysis
How will Gen AI impact the insurance industry?
Gen AI is helping insurers automate claims, detect fraud, and personalize customer interactions, making processes faster and more efficient. It also enables companies to uncover deeper insights from their data and deliver better service at lower costs. Some of the most impactful Gen AI use cases in the insurance industry are listed below.Key use cases:
What are the biggest challenges of implementing artificial intelligence in insurance operations?
Insurers are keen on the potential of AI, yet implementing it isn't necessarily straightforward. Many are grappling with how to mesh new AI software with legacy systems, tidy up unstructured data, and win over skeptical teams resistant to changing the way they work. On top of that, they need to ensure they're remaining on the right side of regulations, keeping algorithms free of bias, and keeping everything transparent for customers. To actually make AI work, insurers need to have good governance, a definite goal, and regular check-ins to ensure their efforts stay on track and build trust.What are the ethical implications of using artificial intelligence in the insurance industry?
Use of AI in insurance presents several ethical considerations surrounding fairness, transparency, and accountability. Insurance firms must ensure that AI remains unbiased and compliant to regulations. These ethical considerations include:- Bias and discrimination: AI models trained on biased data can disadvantage certain groups.
- Lack of transparency: Secretive algorithms can make it very hard to justify decisions and recommendations to customers.
- Privacy concerns: Usage of sensitive data to train AI raises questions about data protection.
How is AI changing customer expectations and engagement strategies for insurers?
AI is raising customer expectations. People demand faster service, expedient claims, personalized policies, and better customer service. AI use in insurance can meet those expectations, particularly from smart chatbots. These chatbots make interactions frictionless, far more personal, and satisfying for customers.How are insurance agents already using Gen AI?
Insurance agents are beginning to use generative AI to save time, improve service, and strengthen client relationships. By automating routine tasks and providing helpful insights, Gen AI allows agents to focus on more meaningful interactions.What are the top insurance companies using AI?
In the last 2 years, artificial intelligence has been adopted by every major insurance company, various insurtechs, and other insurance-adjacent firms. Many leading insurers are investing heavily in artificial intelligence to improve efficiency, enhance customer experience, and manage risk. Some of the top insurance companies using AI today include:- Allstate - Chicago Quantum Exchange Partnership
- MetLife - Zesty.ai Partnership
- Progressive - AI Chatbot on Facebook Messenger