AI Meets Human Judgment: Striking the Right Balance in Review

Businesses can balance AI and human judgment, but it requires a blend of context, ethics, and creativity. AI is adept at adding speed and consistency, whereas humans add an empathetic approach fueled by common sense.

When you envision the future, are you picturing a world dominated by AI? In reality, humans and AI will work in tandem, machines processing large volumes of data while humans decide what works -- and what doesn't. This is a growing trend, especially with eDiscovery AI in legal fields.

Does this mean AI is replacing humans in the legal field and the workforce in general? Absolutely not. The goal is to seamlessly infuse the two.

What Are the Pros and Cons of AI in Decision-Making?

AI might be adept at doing things people can't, but this doesn't mean it's limitless. It can, however, complete tasks quickly and consistently. It doesn't get tired, take sick days, or become distracted when someone texts or calls.

The result is a product that's useful for companies processing large amounts of daily data. This is why AI in legal review is becoming invaluable for law firms and corporate teams alike.

However, AI lacks the same type of intuition and common sense that is inherently human. AI relies on the data it's provided and crafts information from there, but it's only as good as what it's told. If the data is biased, the results will be too.

Is AI Better at Decision-Making Than Humans?

It depends.

AI is great with certain tasks, but this doesn't mean it's incredible at solving all issues. If you need a product that's ideal for routine work, then AI is a great tool.

This includes:

• Medical images
• Catching credit card fraud
• Planning shipping routes

Additionally, if you need something to filter spam, AI is an excellent go-to.

Humans, on the other hand, are the clear choice for any task that revolves around ethics and creativity. They can think outside the box and weigh pros and cons where AI can't.

A person can sit and have a conversation, reading body language and tone of inflection. That can affect the outcome of a specific situation.

By developing a plan that focuses on human-AI integration, businesses can benefit from machines and real-world employees.

Industry Examples

Examples of human-AI integration are already prevalent in the workforce. For example, the healthcare industry.

AI is used to flag patterns on X-rays.

Does this mean doctors are being replaced? Absolutely not. They get the final say in diagnostics and treatment.

AI can scan thousands of transactions in seconds. This reduces the amount of time it takes to diagnose someone following imaging. Humans then double-check the results from AI.

In law, eDiscovery tools and legal document analysis software work similarly. They scan huge piles of information. From there, attorneys weigh in and decide what's relevant in court, and what isn't.

This is even the case in retail. AI might suggest products, which store managers decide if their specific clientele would appreciate those matches.

Real-Life Scenarios

Imagine a hospital emergency room. They're overcrowded, and everyone needs immediate assistance. Doctors are busy, making AI an essential tool.

Following a scan, AI can quickly assess a patient's symptoms. The doctor then listens to the patient, but AI helps them with initial diagnostics.

AI is also prevalent in hiring. An employer no longer has to sift through an endless stack of resumes.

Instead, AI can scan them, looking for key factors in prime candidates. From there, a human recruiter speaks to candidates individually, assessing personality, to see who is the best fit. AI just assists.

In law firms, machines can offer AI legal insights. This is essential for speeding up the length of time it takes to prep a case. Ultimately, lawyers have to weigh all the facts.

TAR eDiscovery workflows come into play in this situation. AI suggests priorities in cases, while humans confirm the machine's results.

Practical Steps to Balance AI and Human Judgment

It's not hard to balance the two. The best way to begin is by letting AI handle anything that's repetitive and safe. This means:

• Scanning data
• Flagging unusual activity on a credit card

Once AI has done its job, have humans step in. What are their specific roles? Have this outlined in advance and train employees.

This is known as review process optimization. It ensures humans are in control.

FAQs

Can AI Completely Replace Human Decision-Making?

No. AI is faster than humans for certain jobs, but it can't replace the nuances of humans.

For example, it doesn't empathize like humans. It also can't judge situations the same way a person can. AI also isn't adept at ethics the way a person is, which means it can't replace humans in the workforce, especially where decision-making is concerned.

For challenging projects and decision-making, humans are required.

How Do Companies Decide When to Use AI Versus Humans?

The decision to defer to AI versus humans comes down to risk factors. If the decision is repetitive, then AI might be an obvious choice. The same holds true if the situation is low-stakes.

If the situation is high-stakes, for example, then a human would override AI. This includes decisions about a person's health, their finances, or fairness through real-world scenarios.

What Industries Benefit Most From Combining AI With Human Judgment?

Healthcare, finance, law, and customer service are the industries that benefit the most from an AI-human combo. AI is exceptional at working with data-heavy tasks, but humans are required to keep results fair and accurate across the board. AI eDiscovery solutions are great for high-volume work, but humans oversee projects from start to finish.

Finding the Perfect Balance With eDiscovery AI and Human Judgment

The strongest decisions are based on teamwork and collaboration. AI is adept at speed, while humans are empathetic. When you combine the two, you'll have a smarter, faster team.

At Reveal, we're comprised of former law firm partners, paralegals, eDiscovery managers, and more. We understand the demands of this industry, which is why we combine eDiscovery AI with decades of legal expertise. Our solution isn't cookie-cutter -- it's curated to work for your individual business.

Request your demo today.