Risk & Robots

Risk & Robots

Technology, Information and Internet

AI content build by AI (and humans...which is better)

About us

Website
www.riskandrobots.com
Industry
Technology, Information and Internet

Updates

  • View organization page for Risk & Robots, graphic

    14 followers

    ChatGPT often hallucinates, making it unreliable for reading insurance policies, which demands high accuracy. The Retrieval-Augmented Generation (RAG) offers a solution by providing AI with access to a knowledge base to reference accurate information. However, implementing RAG is resource-intensive, as it involves gathering and labeling vast amounts of precise data. This is a video short of an interview Pankaj Parashar & 🇺🇸 Nick Lamparelli did with Dan Schuleman, CEO of Qumis. Full episode to drop next week #RiskandRobots #AI #Insurtech

  • Risk & Robots reposted this

    View profile for Hamna Aslam Kahn, graphic

    Follow me to get insights on how to use AI at work and beyond. Join the world's biggest AI newsletter with 650K readers ↓

    You can now use ChatGPT within Excel and Google Sheets No more memorizing complex formulas or functions Write killer prompts, generate formulas, categorize data and more Here’s how you can do it: • Open Excel and click on Insert → Get Add-Ins • Search Numerous and Add Numerous Add-In • Open a spreadsheet and write your prompt using =AI(Write your prompt here, cell reference) formula Check it out now: https://numerous.ai/ __________ If you like this, and want more AI tools, tutorials, and news, join Superhuman, my AI newsletter with 600K subs now: https://lnkd.in/dXQ9-B9A

  • Risk & Robots reposted this

    View profile for Kate Terry, graphic

    Startup CEO | Public Company Board Member | Insurance & Insurtech

    Ok, anyone read the #Noahpinion post this morning about AI (by Noah Smith, whose writing I adore)? It was a much clearer layout of something I have long believed - AI may well make our humanity more valuable, not less (working at the top of our licenses, in insurance-speak). It’s comparative advantage - no matter how good AI gets, it’s always going to make sense for humans to do the things humans do best relative to the other things we can do. There’s no reasonable world in which AI takes it all over, because there’s a always a limit on energy available to pump into AI computing, no matter much more efficient it gets/how much more energy we can access. What’s our comparative advantage? Connecting with other people, empathy, understanding, connection. Seeing connections that haven’t existing before. Breaking the fourth wall between data and the human activities that create the data. All things that computers can’t do. Heck even social media doesn’t do those things, and that’s human created content sitting on tech platform. What kinds of tasks are likely to matter more, not less, in insurance in an AI world? I’m no futurist, but here’s what I’m thinking. What else? 💡 Risk assessments/reassurance/counseling for individuals and businesses 💡 Return to work support after a workplace injury 💡 Training AI models to understand the humans that create the data 💡 Management, generally 💡 Bus dev, M&A, and similar They’ll all be hyper charged by AI tools, but the most important parts of these jobs will be even more valuable. Also, here’s what DALL-E comes back with for “Draw a picture illustrating comparative advantage for humans vs AI.” I like where it’s going. #aiininsurance #insurance #insurtech

    • DALL-E generated image of comparative advantage; AI is building a robot, a human is painting.
  • View organization page for Risk & Robots, graphic

    14 followers

    "First rule of engagement: AI's not in charge, humans are. We can delegate responsibility to AI, but never accountability."

    View profile for Kate Terry, graphic

    Startup CEO | Public Company Board Member | Insurance & Insurtech

    Last night I was on a panel about modernizing insurance at InsurTech New England. We took some really smart audience questions about AI that have me thinking. First rule of engagement: AI's not in charge, humans are. We can delegate responsibility to AI, but never accountability. What does that mean in an industry where what we are supposed to do is discriminate fairly? After all, insurance companies are really good at separating people and companies into risk pools based on characteristics that lead to loss (and hopefully only characteristics leading to loss). I've spent my career working on insurance products. We've always checked our input data for biases, and also our outputs for unexpected biases. We catch a lot before we launch. Regulators catch some too, and adjust the playing field accordingly. And other skews we unfortunately only see as we collect data from a newly launched product. The thing is, human biases are predictable. Human brains work how they work - we all live in one. We can scan for our known biases in how questions are asked and answered, and how data sources collect and report information. We can comb through outputs looking for unexpected results and correlations with demographics we didn't intend and that are often ghosts in the model from skews in the inputs. AI biases are not so predictable. They come in part from the data the model was trained on, which may not be our own data, and may not be assessable by outsiders. AI's biases also derive from innumerable statistical correlations that just aren't how a human brain calculates. That's why AI is so powerful, but also means the results that can't be intuited by us, with our messy wet brains. In this context, how do we check input and output for biases before we do harm to our customers (and our companies, and the insurance markets)? And how in the world does a regulator do this? We have to move forward with AI - not to be too over the top, but better insurance analytics saves lives and heartache and money. Always has, always will. And as a leader starting to deploy AI, I can't drop my accountability, ever. And that's a little terrifying in this moment, when we're starting to launch analytical power that we scarcely understand. Still, the humans are in charge. Or at least we think we are... With thanks to my fellow panelists and an engaged audience for a fun conversation: Meghan Titzer, CPCU, Rachel Switchenko, Jamie Luce, and the moderator with the mostest, Anna Kupik. #insurance #insurtech

    • No alternative text description for this image
  • Risk & Robots reposted this

    View profile for Curtis Goldsborough, graphic

    aka LO$$ RATIO ▏ Insuretech Aficionado ▏ 🎥 Creator

    Let's talk about handrails, underwriting..........and Generative AI. 😎 I drive past this house on a weekly basis. It's a nice place. Sits on 5 acres in rural northern Michigan. Big garden. Beautiful country setting. Stunning views. 🏡 🌤 The house was built in 2018. It's a 1.5 story, frame construction home, with a big, elevated deck on the front. Like EIGHT FEET elevated..........with no handrail...........at all. 😨 Zero. Zilch. Nada. And it's been this way for 5 years. 🗓 It's what I refer to as an "Umbrella Deck". ☂ Because when someone falls off the deck and breaks their neck, I hope and pray the homeowner has an Umbrella Liability policy...........because $1M of liability coverage on their HO-3 ain't gonna protect their assets in court. 💸 But wait.......there IS a handrail, you say? OK, I admit it. A handrail is visible in the photo. Looks legit and safe. ✅ Buuuuuuuuuttttttt........check the FIRST comment below. 👇   The handrail IS NOT REAL. It doesn't exist. 🤯🤯🤯 A few clicks and a simple text prompt of "add handrail", and taaaa-daaaaa! Liability eliminated in under 20 seconds! Woohoo!!! 😑😑 This is Generative AI. And it's a BIG problem for insurance underwriting and claims. 🛑 I'm excited about what we're doing to ensure our self-inspection photos are legit and have not been digitally altered with GenAI or other photo manipulation tools. 🤳 Because its become WAAAAYYY too easy for bad actors to game the system. And underwriters must have confidence that the photos they're looking at are an accurate depiction of the real-world risk they're analyzing. 📷 #underwriting #claims #GenAI #fraud #insuretech

    • No alternative text description for this image

Affiliated pages

Similar pages