Why AI Needs a Strong Moral Compass for a Positive Future |
- by 7wData
In 2023, we’ll start to see a methodology of feeding data, testing, and monitoring outcomes that ensures a moral compass for our algorithms, just like Asimov envisioned the three basic laws of robotics 80 years ago. Carlos Martin, co-founder and CEO of Macami.ai, emphasizes on the need for morally sound AI evolution as we keep growing together in our collaboration.
In 1942, author Isaac Asimov introduced the three laws of robotics with his short story Runaround:
In this story and the subsequent ones such as I, Robot, Bicentennial Man, or the Robot series, Asimov pictured a world where humanity was far more technologically advanced than ours, where intelligent robots helped with daily tasks in the household were a commodity, where they were companions to the elderly, nannies for children and were also workers. These robots had what was called a positronic brain, a type of CPU that managed and processed their vision, intelligence, and motor functions.
In our day and available to businesses and the general mass is what is called narrow Artificial Intelligence; this type of Artificial Intelligence is accessed through separate channels or APIs depending on the task at hand. For example, for natural language processing, one must connect to one or more specific channels/APIs that provide that type of AI. For Computer Vision, one must also connect to one or more specific channels/APIs. The same is the case with Machine Learning algorithms. We do not have an AI that encompasses all today except experimentally. There are, of course, experimental AI technologies that try to take it to the next level, known as General Artificial Intelligence or even further ones, such as like the AI called PLATO, inspired by research on how babies learn (PLATO standing for Physics Learning through Auto-encoding and Tracking Objects).
The technology used by businesses and the general public is what is considered Narrow AI. Even with AI being in a real period of infancy, we are seeing a deep impact on our lives. We’re seeing that social media is giving us more content that reaffirms our beliefs, even if they may be wrong. If you’re someone that believes the moon landing was fake, social media’s AI will find more content to keep you interested. It is cold. It does not care if there are a million other facts that prove otherwise – it will still feed you what you want. Why? It’s simple: money. Those algorithms can feed you more ads by keeping your eyeballs busy with that content. Plain and simple.
We have cases where an AI has incorrectly identified a person of interest, or where AI vision has more problems identifying people of color, or the case of the Kentucky court system, using an AI algorithm to assess a person’s risk to determine the possibility of bail only to find out later that the system has disproportionately determined blacks as higher risk, whereas previously, there was little difference. We have seen AI algorithms discard people’s resumes based on their age. There is also the case of Tay, Microsoft’s AI, which in less than 16 hours, Twitter taught to be a racist jerk where it began posting inflammatory and offensive tweets through its Twitter account, causing Microsoft to shut it down.
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