Insights: 5 Reasons It’s Hard To Create Unbiased Artificial Intelligence
Originally posted by Abdulrahman Bonire @ theinnovationenterprise.com
Artificial intelligence has been talked about for a long time. It’s going to have a huge impact on the world as we know it. It’s set to touch every industry. One of the great concerns regarding artificial intelligence is that it won’t be unbiased. It will be able to take on a life of its own and will make the wrong decisions.
Scientists are working hard to create unbiased artificial intelligence. However, this is going to be a big challenge, below I outline why
A Lack of Understanding
The problems begin with the concept of unbiased. Few people fully understand what being unbiased is, and the concept differs all over the world. You’re never going to get one complete definition because it differs for everyone. When have we made it to the right point? At what point do changes need to be made? You’re going to get a different answer every single time.
Humans Create the Learning Apparatus
Artificial intelligence has the power to train and grow over time. Like anything, it needs material to train and get better at what it does. The issue with creating unbiased artificial intelligence is that biased humans create the algorithms and the data used to train the supposedly unbiased artificial intelligence systems.
It’s extremely difficult for humans to be 100% unbiased, which creates a massive problem when it comes to making artificial intelligence unbiased.
Creating Balanced Databases is Nearly Impossible Today
The answer to unbiased artificial intelligence lies in the database. We have seen countless examples of this going wrong because of data that’s either incorrect or biased. One problem is that we don’t have any standard for creating an unbiased database. There are no laws and no best practices. In short, we’re essentially guessing. And time and time again we get it wrong.
With the current level of technology and knowledge, creating a 100% balanced database is extremely difficult.
Shared Databases are an Answer, but there’s a Practical Problem
Another reason why it’s difficult to create unbiased artificial intelligence is because the most common suggestion is to create a shared database. This would free artificial intelligence from much of the bias that’s likely to come from a single entity.
But there’s a major practical problem involved with its implementation. Artificial intelligence is a generalized concept. To create a shared database would require the cooperation of many competitors or unrelated businesses. For example, a supply chain management business would have to come together, which is unlikely to happen.
There’s little will for these shared projects, and that’s slowed progress down over the years.
We Don’t Fully Understand Machine Learning
Artificial intelligence systems are developed over time to create efficient systems that can learn from mistakes. The problem is that artificial intelligence is still not fully understood. Machine learning is not fully understood. It is a technology that continues to be in its infancy. And that is an issue because it means we are still learning ourselves.
The best solution for unbiased artificial intelligence might still be waiting to be discovered. There are still too many breakthroughs to overcome a major problem like this in the immediate future.
What’s the Importance of Unbiased Artificial Intelligence?
One question we have yet to answer is why unbiased artificial intelligence is so important in the first place. The truth is that the general public still has a lot of reservations about whether they even want artificial intelligence to be developed. A combination of myth and disaster movies has convinced people it could present a threat to society itself.
Unbiased artificial intelligence will not only head these concerns off, but it will encourage the further development of systems like this. And that could do a lot of good for many areas of society.
Conclusion – Is it Coming?
Unbiased artificial intelligence is still a long way off. It will take a greater understanding of machine learning and more collaboration both within and between different industries. But there is no doubt that one-day unbiased artificial intelligence will become a reality, and it has the potential to change the planet as we know it.