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Working Alongside AI: Myths and Misconceptions Training Course

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This training identifies myths and misconceptions in working with artificial intelligence, and the benefits and risks of AI.

10 minutes   |   SKU: AT134    |    Language(s): EN / ES / FR    |    Produced 2024

SKU:

AT134

Language(s):

EN / ES / FR

Updated:

2024

Length

10 minutes

Training Objectives

Identify myths and misconceptions of AI
Identify the realities associated with each myth
Describe the way AI is used in various industries
Understand the benefits and risks of using AI

Course Overview

As the concept of artificial intelligence (AI) has flourished over the years, so have the myths and misconceptions about its use. While AI is not a new idea, its popularity and use have grown recently. This means that more and more industries are using AI than ever before. Understanding how AI works, its uses, and its limitations, will help businesses leverage its benefits like never before.

There are several myths and misconceptions related to artificial intelligence that may keep people from using it more. For example, many people are worried about AI taking over jobs previously done by humans. Not only is this not correct, but the opposite may be true! While some jobs, like those that are repetitive and dangerous, might go to AI in the future, other jobs will be created by AI's very existence. Since artificial intelligence is not, in fact, intelligent, it needs people to program and monitor it at all times. These needs provide the opportunity for new and exciting jobs. The reality is that artificial intelligence isn't a replacement for humans, but rather another tool for people to use and work alongside in the future.

Many industries already use artificial intelligence in their businesses, with more uses being added every day. Educators use AI to help plan and meet the needs of their students, while the retail industry relies on it to aid in customer service and marketing. Financial entities, like banks, use artificial intelligence to monitor transactions and prevent fraud. Cities are even relying on AI to help control traffic congestion, optimize energy use during emergencies, and streamline waste collection procedures. The use of AI across fields is becoming more commonplace, with no signs of slowing down.

This course will help you understand the many myths and misconceptions associated with artificial intelligence and the realities behind those myths. You will also learn how various industries use AI and the best practices for working alongside artificial intelligence. While it may seem scary at first, AI is actually an exciting new progression for your workplace!

This program is available with Spanish and French closed captions.

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What is artificial intelligence?


Artificial intelligence is a machine-based system that can be used to make predictions, recommendations, and/or decisions based on patterns in data and algorithms.


How has artificial intelligence evolved over the years?


AI got its official start in 1956 at Dartmouth College in New Hampshire. In the 1960s and 1970s work continued to improve AI until the 1980s when the AI boom took off as artificial intelligence began to be used in the healthcare industry for medical diagnosis. By the 1990s this technology was coupled with robotics and led to the rise of what we now know as chatbots. Since 2010 the power and use of AI have grown exponentially.


Is AI actually intelligent?


Despite its name, artificial intelligence has no real intelligence. They don’t have a brain and can’t think like a human does. AI uses data to make predictions and analyze results, but can’t think independently of this data.


What new jobs will be created due to AI?


As AI continues to progress, so do the jobs associated with it. Creators, engineers, designers, and developers will all be needed in the future to keep AI running.


What can AI be used for?


Artificial intelligence is a powerful tool across industries. From education to healthcare to transportation, AI algorithms are used to make data-driven predictions and recommendations. Some sources show that AI can boost productivity by 30%. Some of the most common AI applications include predictive analytics, personalization, and automated decision-making.


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