ChatGPT and Generative AI in Insurance: Reality, Hype, What’s Next, and How to Prepare

I say that with a grain of salt because the client might unwittingly fall step-by-step into using generative AI for therapeutic purposes even though that wasn’t their intent. A client is using generative AI to help their child with putting together an essay about Sigmund Freud, the renowned psychologist. After doing so, the client gets further curious ChatGPT App about Freud’s approach to psychoanalysis. In addition, the client explains to generative AI the actions of their existing therapist and asks how this compares to what Freud would have done. Presumably, the therapist is unaware of the usage and the client doesn’t divulge to the therapist that generative AI is being consulted on the side.

Also, as mentioned, the AI makers are constantly boosting their safeguards, which means that a technique that once worked might no longer be of use. Some even claim that the AI app ought to repeatedly warn you. Each time that you enter a prompt, the software should pop up a warning and ask you whether you want to hit the return. Though this might seem like a helpful precaution, admittedly it would irritate the heck out of users.

Via the use of what are referred to as establishing prompts, it is easy-peasy to make a generative AI app that purportedly gives mental health advice. No coding is required, and no software development skills are needed. Generative AI is often set up to computationally retrain itself from the text prompts that are being provided. Likewise, generative AI is frequently devised to computationally retrain from the outputted essays.

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The same could be done with the converted prompt that has been tokenized. There is nothing magically protective about having are insurance coverage clients prepared for generative ai? been tokenized. I’ll focus on the text-based generative AI apps in this discussion since that’s what ChatGPT does.

“We do view LLM’s as a game changer and are thrilled with our exclusive partnership with OpenAI,” Zaretsky said. “We are working on a content creation use case with OpenAI’s LLM to help colleagues create both short- and long-term content specific to each channel more efficiently than ever before.” For example, this summer Merrill launched a scheduling app that allows clients to see their advisor’s calendar and instantly book or change an appointment.

Other methods are being pursued and you can expect that we will soon witness a slew of generative AI apps shaped around specific domains, see my prediction at the link here. The use of generative AI for mental health treatment is a burgeoning area of tremendously significant societal ramifications. “AI” is just another step in the evolution of modern computing and the continuation of by now familiar data-driven computer applications, i.e. machine learning and predictive analytics. “Generative AI” is just another step in the evolution of modern AI, i.e., deep learning or statistical analysis of very large volumes of data.

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Not surprisingly, investors also indicated a desire for advisors to provide clarity about when they were using generative AI, as their financial future is linked to advisors’ decisions. Unless they’re trying to do it fraudulently, most people who take out insurance do not want to find themselves having to make a claim. This type of proactive customer management benefits both the customer and the insurance company. AI is also used for pay-as-you-go insurance policies, where customers pay for their insurance based on usage rather than paying a flat monthly or annual premium. Something else that you might find of interest is that sometimes these multi-turn jailbreaks are being automated. Rather than you entering a series of prompts by hand, you invoke an auto-jailbreak tool.

• Via the use of what are referred to as establishing prompts, it is easy-peasy to make a generative AI app that purportedly gives mental health advice.
• I mentioned at the start of today’s column that the emphasis will be on the relationship between a client and their therapist.
• The overarching belief by AI makers is that the public at large would be in grand dismay if AI gave explanations for making explosive devices or discussing other societally disconcerting issues.

Much of this work is tedious but delegating it to an AI tool frees up insurance company employees so they can generate extra value by keeping customers satisfied and upselling or cross-selling other products. Various internal tables designate which token is assigned to which particular number. The uptake on this is that the text that you entered is now entirely a set of numbers. Those numbers are used to computationally analyze the prompt. Furthermore, the pattern-matching network that I mentioned earlier is also based on tokenized values.

He said that the real value lies in supporting decision-making and human creativity, rather than relying on the tool, alone. Plexus Corp., an electronic manufacturing service company, started using generative AI a year ago. At least two Neenah-area companies are adopting generative AI into their business operations. The talk was part of a New Digital Alliance Summit — one of many sessions held during the Tech Summit at Neenah, on Tuesday.

• If generative AI is alerted or directed to aid you in overcoming your generative AI addiction, the AI could keep track of your usage and warn you when it seems you are going overboard.
• Maybe use ChatGPT to write that memo that your boss has been haranguing you to write.
• For various examples and further detailed indications about the nature and use of conversational prompting, see my coverage at the link here.
• The data that you enter into an AI app is potentially not at all entirely private to you and you alone.

Those who avoid prompting improvements of their own volition are going to be waiting on the edge of their seat for that which might be further in the future than is offhandedly proclaimed (a classic waiting for Godot). In my viewpoint, and though I concur that we will be witnessing AI advances that will tend toward helping interpret your prompts, I still believe that knowing prompt engineering is exceedingly worthwhile. I have a helpful rule-of-thumb that I repeatedly cover in my classes on the core fundamentals of prompt engineering. Be direct, be obvious, and generally avoid distractive wording when composing your prompts. As an industry, most firms are likely to adopt AI tools specifically for marketing to clients in the next year. Another 45% said they were still learning and collecting information on AI.

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Knowing when to use succinct or terse wording (unfairly denoted as “dumbing down” prompting), versus using more verbose or fluent wording is a skill that anyone versed in prompt engineering should have in their skillset. For various examples and further detailed indications about the nature and use of averting the dumbing down of prompts, see my coverage at the link here. Using subtle or sometimes highly transparent hints in your prompts is formally known as Directional Stimulus Prompting (DSP) and can substantially boost the generative AI responses. For various examples and further detailed indications about the nature and use of hints or directional stimulus prompting, see my coverage at the link here.

I’ve mentioned this in prior columns and believe the contextual establishment is essential overall. If you are already familiar with the overarching background on this topic, you are welcome to skip down below to the next section of this discussion. Insurance can be a labour-intensive ChatGPT activity with complex risk evaluation and claims adjustment processes. AI can improve efficiency in many ways, for example summarising large quantities of content gathered during a claim, including call transcripts, agent notes and legal or medical reports.

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The usual rationale for this claim is that generative AI will be enhanced anyway by the AI makers such that your prompts will automatically be adjusted and improved for you. This capacity is at times referred to as adding a “trust layer” that surrounds the generative AI app, see my coverage at the link here. When asked what the biggest obstacles are for advisors in marketing or prospecting new clients, nearly 40% of respondents said “finding the time to do it,” next to “finding the right technology tools to help,” at 37%. There aren’t any solid counts yet of how many people might be addicted to generative AI.

Some refer to this as text-to-text, though I prefer to denote it as text-to-essay since this verbiage makes more everyday sense. Via a prompt akin to Chain-of-Thought (CoT), you tell the generative AI to first produce an outline or skeleton for whatever topic or question you have at center stage, employing a skeleton-of-thought (SoT) method to do so. For various examples and further detailed indications about the nature and use of the skeleton-of-thought approach for prompt engineering, see my coverage at the link here. You can enter prompts that tell generative AI to produce conventional programming code and essentially write programs for you. For various examples and further detailed indications about the nature and use of prompting to produce programming code, see my coverage at the link here.

The more you know about prompting provides a nearly surefire path to knowing more about how generative AI seems to respond. I am asserting that your mental model about the way that generative AI works is embellished by studying and using prompting insights. The gist is that this makes you a better user of generative AI and will prepare you for the continuing expansion of where generative AI will appear in our lives. My point is that, unlike other apps or systems that you might use, you cannot fully predict what will come out of generative AI when inputting a particular prompt.

Thus, the claim goes, even if you entered confidential info in your prompt, you have no worries since it has all been seemingly tokenized. Yes, dates can be concocted, places can be made up, and elements that we usually expect to be above reproach are all subject to suspicions. Do not believe what you read and keep a skeptical eye when examining any generative AI essays or outputs. If a generative AI app tells you that Abraham Lincoln flew around the country in his own private jet, you would undoubtedly know that this is malarky. Unfortunately, some people might not realize that jets weren’t around in his day, or they might know but fail to notice that the essay makes this brazen and outrageously false claim.

Knowing this, the AI makers have often put in simple detections that catch if you perchance ask or tell the generative AI to do mental health therapy with you. The AI will usually emit a canned message that says the AI won’t do so and that you shouldn’t be using generic generative AI for that purpose. You can foun additiona information about ai customer service and artificial intelligence and NLP. Also, the licensing agreement that accompanies the generative AI typically states that the AI is not to be used for mental health advisement or otherwise any substantive medical advisement. Turns out that generative AI is permeating nearly all elements of the client-therapist relationship. There seems little doubt that this is only just the beginning.

You can explicitly indicate in your prompt that you want generative AI to emit a level of certainty or uncertainty when providing answers to your questions. For various examples and further detailed indications about the nature and use of the hidden role of certainty and uncertainty when prompting for generative AI, see my coverage at the link here. Generative AI is known for having difficulties dealing with the reverse side of deductive logic, thus, make sure to be familiar with prompting approaches that can curtail or overcome the so-called “reverse curse”. For various examples and further detailed indications about the nature and use of beating the reverse curse prompting, see my coverage at the link here. You can use special add-ons that plug into generative AI and aid in either producing prompts or adjusting prompts. For various examples and further detailed indications about the nature and use of add-ons for prompting, see my coverage at the link here.