Though far from flawless, AI has already progressed far beyond what programmers ever imagined was feasible. While some of AI's most egregious missteps are alarming, others are rather funnier. Other AI success stories already exist, and tens of thousands of users utilize various chatbots like Bard and Claude.
However, there have also been other instances when using AI has gone catastrophically wrong. Artificial intelligence (AI) has the potential to outperform humans in a variety of tasks, such as cancer detection and hiring decisions, by operating faster, more precisely, consistently, and impartially.
However, AIs have also had a great deal of disastrous failures. Also, as AI is becoming more and more common, mistakes might have an impact on millions of people rather than just a single person. In this article, we will discuss the AI automation gone wrong. Let's have a look at what is artificial intelligence (ai) automation!
AI automation automates business processes by combining AI technology with other tools. Automation may take place via hardware, such as robotic process automation (RPA) in the real world, or software, where AI systems examine data, learn from it, and make choices.
Artificial intelligence (AI) automation processes and learns from vast volumes of data using AI methods, including computer vision, natural language processing (NLP), and machine learning algorithms. After analyzing the data and creating an AI model, an AI application may use what it has learned to guide intelligent decision-making.
These skills stimulate innovation across several sectors. For instance, AI is helping the medical field find novel medications, while the auto sector is making progress toward autonomous driving. Furthermore, as AI develops in efficiency, it will become more adept at managing bigger data sets and accelerate the development of many businesses even further.
While AI systems are intelligent enough to handle our shopping and driving, they are not immune to faults. Now is the time to examine a few global instances of artificial intelligence gone bad. Here is artificial intelligence gone wrong!
AI's unexpected nature often produces amusing outcomes. Instead of camera crews during a pandemic 2020 match in Scotland between Inverness Caledonian Thistle and Ayr United, the game was captured by autonomous AI cameras.
Funnily enough, the cameras kept following the lineman up and down the sidelines, mistaking his bald head for the ball.
Alexa gets into her fair share of mischief. In 2017, a homeowner in Hamburg, Germany, had to pay a locksmith substantial charges when Alexa threw a party at his house while he was away. When his neighbors couldn't get in touch with him, they alerted the police, who then smashed down his door.
Oliver Haberstroh, the owner, wasn't home, so the cops disconnected Alexa and hired a locksmith to fix the broken locks. When Haberstroh got home, he had to go to the police station and get a new set of keys since his old ones weren't working.
Maker of self-driving automobiles Cruise has recalled every one of its driverless car fleet after an October collision in San Francisco. Following the incident, 950 Cruise vehicles are being removed from the road altogether.
A person who was caught under the tires of a Cruise car was pulled onto the road during the collision. The person who was in the collision suffered severe injuries. In the last several months, there have been two incidents using Cruise self-driving vehicles. One person was hurt when a Cruise Robotaxi and a firetruck collided in August.
Microsoft, a tech company, claims that Chinese agents use AI to develop pictures, which they then use in influence operations to sow "controversy along racial, economic, and ideological lines."
Microsoft claims that this new feature, which aims to produce high-quality content that may go viral on social media in the US and other democracies, is driven by artificial intelligence. According to the company's speculation, "diffusion-powered image generators" that use artificial intelligence to "not only create compelling images but also learn to improve them over time" are most likely responsible for producing the images themselves.
Eight months pregnant, a lady was falsely jailed using AI-generated evidence, and she is suing the city of Detroit and a police officer, claiming the horrific experience caused her "past and future emotional distress."
After being named as a suspect in a recent robbery and carjacking case by the Detroit Police, Porcha Woodruff was detained for 11 hours before being sent to the hospital due to contractions. According to the ACLU, Woodruff is at least the sixth Black individual to have been mistakenly detained due to an AI error. But Woodruff was the first woman to meet that destiny.
Funnier yet, in 2017, a mother discovered an odd transaction on her Amazon Prime account. Her 6-year-old daughter placed an order for a $170 dollhouse and four pounds of her favorite cookies using the ever-helpful Alexa. Her mother gave the dollhouse to a nearby hospital once a few parental controls were activated, taking it in stride and realizing the mistake was caused by her failure to childproof her Prime account.
When he commented on the story, a San Diego local news reporter said how much he liked the young girl and that "Alexa had ordered her a dollhouse." When some viewers said this, their homes' Alexa devices, if they had the broadcast volume set high enough, began to order dollhouses.
Researchers at Harrisburg University developed a face recognition system in 2022 that assesses a person's likelihood of becoming a criminal. The system's inventors claimed it could predict a person's likelihood of becoming a criminal with 80% accuracy and no racial prejudice using only one picture of the person.
A statement describing how this kind of technology might encourage injustice and have a negative overall impact on society was signed by over 2,000 academics. They declined to share the press release or publish the system's findings.
In 2016, 500 male and 500 female simulated user profiles were created by Google researchers, who then evaluated the accounts to see what kinds of advertisements appeared.
The researchers discovered that while there were clear parallels between the profiles of men and women, the algorithm gave women less exposure to advertisements for executive or high-ranking positions.
package delivery service delivery DPD shuts down its chatbot on the internet after a user demonstrates in a post on X that it is readily tricked into cursing and condemning both the business and the user.
The next day, DPD released a statement stating that there had been a "system error" during an upgrade.
An elderly Canadian couple is conned out of $21,000 by a con artist posing as their son using artificial intelligence.
The con artist first gets in touch with Benjamin Perkin's parents by posing as his attorney and claiming that Perkin is being sued for allegedly killing a diplomat in an automobile accident. Then, a voice-activated artificial intelligence (AI) version of Perkin asks for the money via a Bitcoin transfer.
A robot called Promobot IR77 broke out of the lab where it was being built in a very unusual occurrence in Russia. The robot was designed to interact with people and learn from its surroundings. When an engineer left the lab facility's gate open, the astute man arrived in the city of Perm.
The robot, which resembled a plastic snowman more than anything else, was seen causing traffic jams and giving local police officers a hard time as it roamed the city. Modern AI-based algorithms are here to stay, notwithstanding the security above breaches. It would be like Stone Age people rejecting the use of fire because it may be challenging to manage, to dismiss them today.
Smart underwear, created by Myant Inc., a prominent wearables innovation center, has the potential to be among the most dependable and efficient methods for identifying and averting health problems.
Biometric sensors that monitor temperature, activity, stress level, sleep quality, and electrocardiography (ECG) are integrated into the underwear. Your biometric data is continually collected and analyzed by sensors integrated into the underwear, and a related smartphone app provides insights.
To the ordinary user, Deeptrace's Deepfake technology seemed safe and entertaining. There was a darker side to this development, too, as Deeptrace revealed in 2019 that explicit material made about 96% of deepfakes. With a single click, the AI-powered software DeepNude produced lifelike photos of nude men and women.
To create a fictitious nude picture of the target, users would just need to provide a photograph of them while they are dressed. The app's developer said shortly after it was published that he would take it down from the internet because of negative feedback that went viral.
Prominent face recognition technology identified 25 other skilled sportsmen from New England, including Brad Marchand of the Boston Bruins and three-time Super Bowl winner Duron Harmon of the New England Patriots, as felons.
In a test conducted by the American Civil Liberties Union (ACLU) chapter in Massachusetts, Amazon's Rekognition technology incorrectly linked the athletes to a database of mugshots.
Nearly one out of every six participants had an incorrect distinction. It was unfortunate for Amazon that Rekognition was misclassified since it was advertised to law enforcement agencies as a tool for their inquiries. This technology is only one instance of AI gone wrong; it was shown to be ineffective, and government officials were discouraged from using it without safeguards.
Experience with AI solutions in the real world has highlighted the several hazards mentioned above. Business executives have also seen enough to realize that many firms are delaying their AI projects until they are comfortable with the dangers.
The explainability of sophisticated AI complicates the problem of ensuring security and compliance, which is a major worry. The questions of justice and morality also give managers reason to be suspicious. Errors here have the potential to harm society as well as companies. They may also lead to businesses breaking the law or other regulations.
Yes, AI automation can make mistakes, leading to unexpected and sometimes humorous outcomes.
Yes, AI has made mistakes, leading to incidents like false accusations, unexpected purchases, biased ad targeting, and the recall of autonomous vehicles due to accidents.
Potential issues include biased decision-making, security and compliance concerns, false accusations, unexpected behaviors (e.g., voice-activated scams), and breaches of privacy.
If you use AI in your job, you should be aware that programs like ChatGPT have the potential to exhibit biases, make errors, and provide inaccurate information. Understanding these drawbacks and hazards should influence how you integrate them into your system and manage their use.
The rapid advancement of AI technology has brought about both remarkable successes and notable failures. While AI holds immense potential to revolutionize various industries, instances of AI automation gone wrong underscore the importance of ethical considerations, safety measures, and thorough testing.
You must implement AI rules in your business. It will prevent misunderstandings, clarify the decisions made by your employees about their personal use of AI, and, above all, prevent you from committing some of the expensive errors that businesses discussed in this article have made when using AI.