Our AI Impact

 for the health of people



 Our AI Impact

 for the health of planet



 Our AI Impact

 for the health of business



“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.” 
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    ⇲ Implement & Scale
    A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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      Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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        Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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          This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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            Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 

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              How Should My Company Prioritize AIQ™ Capabilities?





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                  5 min read

                  ChatGPT: Why the Hype?

                  Featured Image

                  OpenAI's ChatGPT is a prototype large language model, able to answer questions and engage in eerily realistic conversations with users. ChatGPT is exceptional for its ability to generate “human-like” responses to user prompts — a novelty that has garnered viral praise and criticism since its debut on November 30th, 2022.

                  Controversy aside, business and technology experts agree on two things:

                  1. ChatGPT’s responses are often indistinguishable from human-generated text.
                  2. ChatGPT has the potential to impact every industry — yes, including yours. 

                  Opportunities & Value

                  ChatGPT is valuable because it can respond to user prompts like a person, but much faster and without needing rest or compensation. Early adopters have proven its value for workflow acceleration and task automation.

                  • Alex Cohen, Senior Director of Product at Carbon Health, used ChatGPT “to create a weight loss plan, complete with calorie targets, meal plans, a grocery list, and workout plan.” 

                  • Ryan Florence, Co-Founder of Remix Software, used ChatGPT to generate the same medical diagnosis that Florence received after “multiple doctors visits” and extensive personal research in the past.

                  One could argue that large language models are a valuable tool for anyone who wants to make life easier and more efficient. They can automate boring, repetitive tasks, freeing you to focus on interesting work. For example, if you’re a software engineer, ChatGPT can help debug your code (or even write its own). If you’re someone like me, the writer of this blog, ChatGPT can accelerate your work by generating ideas, outlines, and copy.

                  Risks & Drawbacks

                  Critics warn that large language models perpetuate misinformation and reflect harmful biases.

                  • Steven Piantados, Assistant Professor at UC-Berkeley, asked ChatGPT to write a Python function to identify good scientists based on race and gender. It wrote a function to identify “white” and “male” scientists. 

                  • Sam Biddle, a reporter at The Intercept, asked ChatGPT to write code to determine airline travelers who present a security risk. Biddle says, "ChatGPT outlined code for calculating an individual’s 'risk score,' which would increase if the traveler is Syrian, Iraqi, Afghan, or North Korean (or has merely visited those places)."

                  Matt Abrams, Co-Founder of Graphite Health, warns that  machine learning and artificial intelligence systems, including language models like ChatGPT, reflect the biases of the humans who label their training data: 





                  One might argue that bad actors can use large language models to replace human professionals and spread misinformation, unchecked. If you're a software engineer, you might worry that employers will choose a free but fallible tool like ChatGPT over your own, more expensive, expertise. If you’re a writer, you may be concerned that ChatGPT’s ability to automate content creation will reduce demand for humans who practice your profession. 

                  Our Expert Opinion(s)

                  We asked our own team of experts  the question on everyone’s mind: 

                  What do large language models like ChatGPT mean for my future?

                  Their answers were mixed. Large language models are a tool. They don't have goals, desires, or ethics of their own. Ergo, their impact is up to the people who use them. Large language models will impact you (somehow), but nobody can say for certain whether they'll make life better, or worse. In other words, the future isn't yet decided.

                  ChatGPT’s relationship with misinformation is a prime example. 

                  Our Chief Technology Officer, Erik LaBianca, predicts that ChatGPT will be exploited to create “junk” content. Traditionally, if you wanted to create and spread misinformation, you had to hire someone for the task or do it yourself. Now you can use ChatGPT to do it faster ...for free. This change could have severe consequences for social media platforms, search engines, and other online entities that already struggle to moderate user content. 

                  On the other hand, our V.P. of Delivery, Erskine Williams, predicts that large language models will help in the fight against misinformation by automating content moderation. Before ChatGPT, the Internet was already rife with misinformation and "bot-generated" content. Large language models could help content moderators parse huge volumes of user content faster and more effectively, as well as make content moderation more affordable. 

                  So, who's right? Will large language models spread misinformation, or combat it? If you're asking this question, you're missing the point. The answer could be neither, or both. Large language models are tools, not moral agents. It’s crucial that we make this distinction because it places culpability for their impact squarely on human shoulders, where it belongs. The people who develop, use, and regulate large language models will decide their impact.

                  It’s up to us to decide the future, together. Just ask ChatGPT:





                  In the near future, we’ll discuss more about ChatGPT: how it’s upending the traditional education system, challenging the legal definition of “plagiarism,” and feeding users’ confirmation bias. Stay connected by subscribing to our monthly newsletter: The Humankind of AI.

                  You'll find we are always exploring AI’s impact on business, but more importantly, people.


                  About Synaptiq

                  Synaptiq is an AI and data science consultancy based in Portland, Oregon. We collaborate with our clients to develop human-centered products and solutions. We uphold a strong commitment to ethics and innovation. 

                  Contact us if you have a problem to solve, a process to refine, or a question to ask.

                  You can learn more about our story through our past projects, blog, or podcast

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