How to learn to trust AI?

 

A few tips from the Pitch Avatar team to enhance your interaction with artificial intelligence.

Almost immediately after the sharp rise in the popularity of AI-based products, a significant number of people began to express dissatisfaction with their capabilities. One of the main criticisms is the lack of trust in the results and quality of AI’s work. The paradox is that these critics are both right and wrong.

Modern AI products do indeed exhibit various “machine hallucinations” and other unpleasant quirks. Broken links, quotes from nonexistent people, fragments of texts without proper citations, the infamous extra fingers/hands/legs (and more) in generated images, repetitive phrases, and frequent redundancies in texts are just a few examples of what can tarnish the experience of working with artificial intelligence.

However, in most cases, the real “culprit” behind these and other issues is not AI itself. Remember, AI is merely a tool that works in conjunction with humans. The efficiency of this tool directly depends on the human operator. This is true for most technological advancements.

Here are a few simple rules to help you “establish effective working relationships” with artificial intelligence.

Don’t rely on just one AI tool

Broadly speaking, modern AI-based products can be divided into two major categories: universal and specialized. Spend time finding both types to suit your needs. Use universal tools for general and everyday tasks, and specialized ones for professional purposes. To be prepared for technical failures and other unforeseen circumstances, it’s wise to have at least two AI tools of each type—one primary and one backup.

Invest time in finding the right solution

Fortunately, most AI products offer trial and free versions, allowing you to determine whether a particular tool suits your needs or if you should look for another.

Practice regularly

Like any other tool, working with AI products requires experience and skill. The more time you invest in learning how to use AI, understanding the nuances and capabilities of each specific tool, the fewer problems you’ll encounter. Make this a regular part of your schedule, dedicating specific times for training. Specialized forums, reviews, and comments can be very helpful in this process. Don’t hesitate to reach out to support services if you have questions—they exist for this very reason. If you’re implementing an AI product in your business, ensure you organize training for your employees. It’s also important to keep track of all updates.

Understand the features and limitations of each AI product

This advice directly follows from the previous point. Experience shows that AI tools are often used for just one or two features, without fully exploring their capabilities. Sometimes, users encounter a new task and start looking for a new tool, not realizing they already have one with the necessary function. Therefore, it’s crucial to learn all the “skills” of the AI products you have and practice solving the most complex and improbable tasks with them.

Learn to formulate tasks for artificial intelligence

Unlike humans, AI tools can’t “read” emotions and have difficulty understanding hints, ambiguities, sarcasm, humor, etc. You need to set tasks clearly and concisely. Adopt the humorous rule: “If an employee can misunderstand an instruction, they definitely will.” Imagine the AI as that employee and learn to formulate your requirements, tasks, and instructions clearly and unambiguously. Be patient. If the AI doesn’t deliver the expected result, think about how to rephrase your request.

Schedule time for reviewing and correcting AI results

The history of progress shows that perfect technology and solutions do not exist. Despite this, many users have unrealistically high expectations for AI products. They demand either perfect results or none at all. To work effectively with AI, forget this approach. You don’t find it surprising to spend time on car maintenance, right? Checking and correcting AI results is just as necessary, and there’s nothing surprising about it. In trying to create artificial intelligence, we have only one model to go by: ourselves. Despite our virtues, have we learned to use our intelligence without error? So why expect this from AI, which hasn’t yet crossed the singularity threshold?

 

Wishing everyone success and high profits!

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Source: Pitch Avatar Blog