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Bakersfield, California 93301
Science fiction shows artificial intelligence to be an entity compelled purely by logic, driven only by objective facts. AI tools used by businesses and in the real world, however, are a far cry from this perception. AI systems have some biases in their operations. Let’s take a look at some of them and how you can resolve these issues.
There are several biases that AI can display. Here are some of them:
In most cases, these biases are formed from the system or, more specifically, the user of that system.
Whether it is error based on prejudice or assumption, most biases can be traced back to the user. For example, let’s say that you want to determine the most important part of your services to your clients. In this oversimplified example, the algorithm powering the AI could be perfectly put together, yet the data used could muck up the results. For instance, if the data was specifically and exclusively collected from Facebook followers, then the accuracy of the data will be skewed in a certain way (sampling bias and voluntary bias, as your followers need to opt into providing you with this data).
This is but one example of AI being unable to perform its assigned tasks, so to prevent this from happening, you must approach the design of your AI systems with an awareness and willingness to avoid biases.
That’s right—it takes human awareness to help AI do its job in an appropriate manner.
You can take certain steps to keep biases from impacting your AI systems. There needs to be a capability for a human being to observe the processes and catch its mistakes, as well as the opportunity to update the systems to accommodate any adjustments as needed. There must also be standards placed on the data collected to ensure that opportunities for bias are minimized.
Your team members will also have to remain aware of these biases while they are working with your data. These biases are generally sourced from human biases, meaning that they can influence your business even if you aren’t using an AI system. In other words, you need to make sure that your staff are both aware of and actively avoiding these biases when processing, collecting, and analyzing data.
What are your thoughts on AI and its uses in the business world? Be sure to leave your thoughts in the comments.
Learn more about what Atech MSP can do for your business.
Atech MSP
3434 Truxtun Ave Suite 250
Bakersfield, California 93301
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