Will the novelty of ChatGPT wear off anytime soon? Microsoft certainly doesn’t think so. In February 2023, the giant went all in on ChatGPT-4 and integrated it with Bing. An over-reliance on AI-powered text generators, however, often proves unreliable and potentially dangerous if not used wisely. Humans are often left in the dark about how AI derives its conclusions, which is a major roadblock to the wider adoption of these technologies.
The murkiness of ChatGPT’s answers leaves diligent users at its mercy: Do they take the AI at its word to save time? Or do they conduct their own background research to fact-check the program, thus erasing all the potential time saving of asking ChatGPT in the first place?
Outsourcing tasks to generative AI-run technologies such as ChatGPT can lead to a slippery slope of dubious results.
Models that devour data aren’t sustainable. The best way to practically apply AI in the industrial or energy sector is to have it draw from an extensive, but focused, knowledge base. For example, instead of scrunching mountains of valuable processes within the brains of a few brilliant employees, those experts should disseminate their knowledge into an organized knowledge base. It’s essential that these knowledge bases are understandable to everyone in the organization, not just data scientists who are adept at parsing dense data. This way, with the assistance of AI, anyone can solve complex industry-specific problems quickly.
AI’s industrial applications are meant to save time and free humans to work on value-added tasks that only humans can complete. When humans must constantly double-check the work of an untrustworthy AI, it defeats the purpose of employing AI. Confidence in every piece of data within a carefully curated knowledge base, in addition to reviewing reasoning paths, is an important element of a trustworthy AI tool.
The ever-pervasive topic of debate concerning AI is how much it can replace jobs and tasks typically undertaken by humans. In the near future, the role of AI will center on assisting and enhancing certain tasks under roles that require more creative and strategic acumen. Conversely, roles that are relatively more administrative and repetitive are a better fit for full automation due to the low risk and predictiveness they carry.
The apprehension towards AI and how it poses a threat to jobs should ultimately shift to the certainty that AI is not a threat to your role—what could threaten your role is a person with similar qualifications as yourself but deftly uses AI to elevate their performance. When working harmoniously side-by-side with humans, AI enhances human creativity. There will always be a place for humans in the workforce because of our ability to reason.
Imagine ChatGPT as a black box. You input a query, the program selects the “most relevant” bits from billions of pieces of data, and an answer appears on the page. This process leaves many users hesitant to take the answer and run. They don’t know if the AI’s line of reasoning is sound. Alternatively, explainable AI solutions that provide a clear audit trail are easier for humans to trust and adopt in the long run. Explainable AI is a glass box, meaning that it solves the ambiguity of non-explainable AI outputs. Even if the answer is incorrect, humans can view the path, see where the program went awry, and fix the solution to be better next time. Additionally, viewing the path could inspire new creative ways of thinking about the problem at hand.
According to Beyond Limits Data Science Director Mike Krause, ChatGPT “isn’t even close” to achieving artificial general intelligence (AGI). “While ChatGPT-4 is undoubtedly more advanced than its first iteration, ChatGPT doesn’t have a semblance of intelligence. It’s basically a glorified data retriever.”
One of the biggest concerns of using generative AI platforms is the security and privacy issues they raise. With an over-dependence on them to do all the leg work, users are overlooking the fact that they are willfully feeding it information that could be confidential and sensitive. And with the way, AI is increasingly evolving to autonomously act on information, who knows what the repercussions of that may be?
On a more malicious scale, ChatGPT can act as an aide to cyber criminals. From going as far as writing functional malware to facilitate phishing and spam emails, the tool is evidently a double-edged sword that does harm as much as it adds value.
ChatGPT’s straightforward use cases are fueling the media frenzy still buzzing around the application. At this point in its development, mostly high school essay procrastinators and mindless marketing clickbait are benefactors of the technology. Engineers in the energy and industrial sectors cannot rely on existing generative AI programs. The stakes are too high to trust outputs generated by a machine that does not offer insight into how it arrived at its conclusions.
Beyond Limits creates solutions for industrial AI systems, allowing everyone– from data scientists to engineers, to admins– to optimize their current operations at scale. Beyond Limits dismantles the “black box” of traditional AI models and always displays an easy-to-understand path that led to explainable answers. In fields where human health and safety are on the line, trust an AI solutions provider with data transparency at its core. We also understand the sensitivity of all information and thus protect our client’s data by adhering to state-of-the-art data privacy, security standards, and uptime across all storage and deployment scenarios, including cloud or private cloud.
LEARN MORE ABOUT BEYOND LIMITS COGNITIVE AI AND EXPLAINABLE AI SOLUTIONS.