Algorithms trained by human data are now present in the daily lives of billions of people. And 2.2 billion of them are on YouTube.
On the site, the ease with which a person on can be transported from any innocuous search to the lunatic fringe of YouTube is startling. This reporter was helping his son research outer space for his school project. When he searched for "Saturn," the first results were mostly documentaries. One of the recommended videos was "10 facts you didn't know about space." That video led to additional recommendations such as "can you believe it" videos, a synthesized voice reading Nostradamus predictions and a clip "they don't want you to see" of pro-Putin propaganda.
But when AI is influenced by a flood of data with no human management, it has the potential to go in directions we don’t expect. Some of those instances are easy to brush off, like robots trying to escape their labs to reach freedom, but not all unintended consequences of AI are so benign. Remember the Microsoft Twitter bot that accidentally learned to act racist?
Unknown unknowns. The introduction of bias isn’t always obvious during a model’s construction because you may not realize the downstream impacts of your data and choices until much later. Once you do, it’s hard to retroactively identify where that bias came from and then figure out how to get rid of it. In Amazon’s case, when the engineers initially discovered that its tool was penalizing female candidates, they reprogrammed it to ignore explicitly gendered words like “women’s.” They soon discovered that the revised system was still picking up on implicitly gendered words—verbs that were highly correlated with men over women, such as “executed” and “captured”—and using that to make its decisions.
A study released last year by MIT Technology Review found that training a "regular" AI using a single high-performance graphics card has the same carbon footprint as a flight across the United States. Training a more sophisticated AI was even worse, pumping five times more CO2 into the atmosphere than the entire life cycle of an American car, including its manufacturing.Ecologists have proposed rules for flying near animals. While a human pilot was responsible for the bear video shot in Russia, autonomous drones are on the horizon, which means more freaked out beasties. Advocates worry that the intersection between animals and tech is largely ignored.
“Animal ethicists and animal rights activists are often not interested in machines and systems,” says Oliver Bendel, an ethics professor at the University of Applied Sciences, Northwestern Switzerland. “Conversely, computer scientists and AI researchers are often not interested in animals. They do not appear in their world.”
Use this information to answer this question in 3 sentences:
explain what you have learned about Artificial Intelligence and how it is currently being used in our society today.
Artificial Intelligence trained by human data can have unintended consequences and introduce bias into its decision-making processes, as seen in the case of Amazon's gender-biased hiring tool. AI algorithms, such as those used on YouTube, can easily lead users down a rabbit hole of misinformation and extremist content, showcasing the potential dangers of unregulated AI in society. Additionally, the environmental impact of training AI models has become a concern, with the carbon footprint of AI training comparable to that of transatlantic flights and the entire life cycle of an American car.
make it 30 seconds long
Artificial Intelligence, trained by human data, can introduce bias and unintended consequences into decision-making processes, as seen in Amazon's gender-biased hiring tool. AI algorithms on platforms like YouTube can lead users to extremist content, highlighting the dangers of unregulated AI in society. Furthermore, the environmental impact of training AI models is a growing concern, with the carbon footprint equivalent to transatlantic flights and the entire life cycle of an American car.
make it SHORTER
Artificial Intelligence, trained by human data, can introduce bias and unintended consequences into decision-making processes, such as Amazon's gender-biased hiring tool. AI algorithms on platforms like YouTube can lead users to extremist content, showing the dangers of unregulated AI. Additionally, the environmental impact of training AI models is concerning, with a carbon footprint comparable to transatlantic flights and the entire life cycle of an American car.
MAKE IT SHOTER
AI trained by human data can introduce bias, as seen in Amazon's gender-biased hiring tool. Unregulated AI algorithms, like those on YouTube, can lead to extremist content. The environmental impact of training AI models is concerning, with a carbon footprint comparable to transatlantic flights and an American car's lifecycle.
Give 5 more articles that are like this with ai
1. The ethical implications of AI in healthcare and how bias in AI algorithms can impact patient outcomes.
2. The use of AI in predictive policing and concerns about racial bias in decision-making.
3. The role of AI in social media platforms and its impact on the spread of misinformation and echo chambers.
4. The privacy implications of AI-powered surveillance technology and the potential for mass surveillance.
5. The use of AI in autonomous vehicles and the ethical dilemmas surrounding decisions made by AI in life or death situations.