Using Linear Regression to Understand the Relationship between Salary & Experience
Photo by Ricardo Gomez Angel on Unsplash
Understanding the factors influencing compensation is essential in the tech...
DATA STRATEGY
|
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.
|
Read the Case Study ⇢ |
PREDICTIVE ANALYTICS
|
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.
|
Read the Case Study ⇢ |
MACHINE VISION
|
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.
|
Read the Case Study ⇢ |
INTELLIGENT AUTOMATION
|
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.
|
Read the Case Study ⇢ |
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. |
Start Chapter 1 Now ⇢ |
Photo by Edward Howell on Unsplash
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:
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.
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.
Critics warn that large language models perpetuate misinformation and reflect harmful biases.
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:
UNTIL WE HAVE QUALITY DATA, WE WILL HAVE AI SYSTEMS THAT ARE DUMB, ERROR PRONE, AND HARMFUL
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:
THE IMPACT OF GPT-3 WILL DEPEND ON HOW IT IS USED AND WHO IS USING IT
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.
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.
Photo by Ricardo Gomez Angel on Unsplash
Understanding the factors influencing compensation is essential in the tech...
September 20, 2024
Photo by Dylan Gillis on Unsplash
Just as a skydiver never wishes they’d left their parachute behind, no business...
July 22, 2024
Photo by Simon Hurry on Unsplash
According to a recent survey by The Economist, more than 99 percent of executives...
July 18, 2024