There are many ways to avoid bias when using algorithms. You can, for instance, influence how these programs function. Although this is the most common method to avoid bias, it is not always possible. Designing algorithms can have an influence on the programs' results. This is a major problem. If people are not careful, they can lead to inaccurate results. It is a good idea for people to be suspicious of algorithms making mistakes.
racial bias in algorithms
A new study has shown that there is a bias in health-risk assessment algorithms. The findings came from a study of 3.7 million people that was replicated by a health services company. The new algorithm used cost-based health prediction and showed an 84 percent reduction of bias. This algorithm would raise the number of black patients by 17 to 46 percent. These findings could be useful in fighting discrimination in medicine.
Machine learning: Racial bias
While machine learning algorithms might appear "objective" mathematical methods, they can have a tendency be racially biased. Such algorithms can exaggerate the risk of African Americans when they are used to predict their health risks. Robert Julian Borchak Williams was wrongly detained in Michigan. This case shows how flawed algorithms can magnify discrimination against minority communities. As a result, machine learning algorithms need to be tweaked to correct for the bias.
Self-driving cars and racial bias
Recent research suggests that self -driving cars might have a racial bias. This may make them less safer for people of colour. Research shows that the technology doesn't recognize darker skin colors and may not be able spot people of colored. This could lead to the deaths of many pedestrians, both black and white. As such, the Law Commission has begun reviewing the legal requirements regarding autonomous vehicles. It is scheduled to release its final Report towards the end in 2021.
Home loans with racial bias
Researchers have shown that white mortgage lenders are more likely deny loans to people of colour than to white applicants. Although the rate of racism in the housing sector has decreased dramatically over the past decade there are still cases. A study by Markup found that lenders are more likely than whites to refuse home loans to people of color. This is despite other factors being considered by lenders, such as income or location. The Markup study did no take credit scores into account.
Amazon's algorithm reflects racial bias
This algorithm is based upon inherited redlining efforts, and excludes many black neighborhoods. Many black neighborhoods lack infrastructure and have few options for services or shopping. Amazon's algorithm continues to perpetuate the status-quo. It's time to make the algorithm fairer and more inclusive. It should also expand its services to other minorities. Amazon needs to stop using racist data within its algorithms and treat all customers equally.
FAQ
What are some examples AI-related applications?
AI can be applied in many areas such as finance, healthcare manufacturing, transportation, energy and education. Here are just some examples:
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Finance - AI already helps banks detect fraud. AI can scan millions upon millions of transactions per day to flag suspicious activity.
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Healthcare – AI is used in healthcare to detect cancerous cells and recommend treatment options.
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Manufacturing - AI is used to increase efficiency in factories and reduce costs.
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Transportation – Self-driving cars were successfully tested in California. They are currently being tested around the globe.
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Utilities are using AI to monitor power consumption patterns.
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Education - AI is being used in education. Students can use their smartphones to interact with robots.
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Government - Artificial Intelligence is used by governments to track criminals and terrorists as well as missing persons.
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Law Enforcement-Ai is being used to assist police investigations. Detectives can search databases containing thousands of hours of CCTV footage.
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Defense - AI can be used offensively or defensively. It is possible to hack into enemy computers using AI systems. In defense, AI systems can be used to defend military bases from cyberattacks.
How does AI work
An artificial neural network consists of many simple processors named neurons. Each neuron receives inputs from other neurons and processes them using mathematical operations.
Neurons are organized in layers. Each layer performs an entirely different function. The first layer gets raw data such as images, sounds, etc. These are then passed on to the next layer which further processes them. The final layer then produces an output.
Each neuron has its own weighting value. This value is multiplied with new inputs and added to the total weighted sum of all prior values. The neuron will fire if the result is higher than zero. It sends a signal up the line, telling the next Neuron what to do.
This process repeats until the end of the network, where the final results are produced.
Where did AI come from?
Artificial intelligence began in 1950 when Alan Turing suggested a test for intelligent machines. He said that if a machine could fool a person into thinking they were talking to another human, it would be considered intelligent.
John McCarthy took the idea up and wrote an essay entitled "Can Machines think?" in 1956. In it, he described the problems faced by AI researchers and outlined some possible solutions.
What is the most recent AI invention
The latest AI invention is called "Deep Learning." Deep learning, a form of artificial intelligence, uses neural networks (a type machine learning) for tasks like image recognition, speech recognition and language translation. Google created it in 2012.
Google was the latest to use deep learning to create a computer program that can write its own codes. This was achieved by a neural network called Google Brain, which was trained using large amounts of data obtained from YouTube videos.
This allowed the system to learn how to write programs for itself.
IBM announced in 2015 that it had developed a program for creating music. The neural networks also play a role in music creation. These are called "neural network for music" (NN-FM).
AI: Is it good or evil?
AI can be viewed both positively and negatively. AI allows us do more things in a shorter time than ever before. Programming programs that can perform word processing and spreadsheets is now much easier than ever. Instead, we ask our computers for these functions.
Some people worry that AI will eventually replace humans. Many believe that robots could eventually be smarter than their creators. They may even take over jobs.
Is Alexa an Ai?
The answer is yes. But not quite yet.
Amazon developed Alexa, which is a cloud-based voice and messaging service. It allows users interact with devices by speaking.
The technology behind Alexa was first released as part of the Echo smart speaker. However, similar technologies have been used by other companies to create their own version of Alexa.
These include Google Home, Apple Siri and Microsoft Cortana.
Statistics
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
External Links
How To
How to set Siri up to talk when charging
Siri is capable of many things but she can't speak back to people. This is because there is no microphone built into your iPhone. Bluetooth is a better alternative to Siri.
Here's how to make Siri speak when charging.
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Select "Speak When locked" under "When using Assistive Touch."
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To activate Siri press twice the home button.
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Siri will respond.
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Say, "Hey Siri."
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Simply say "OK."
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Tell me, "Tell Me Something Interesting!"
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Speak "I'm bored", "Play some music,"" Call my friend," "Remind us about," "Take a photo," "Set a timer,"," Check out," etc.
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Say "Done."
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Thank her by saying "Thank you"
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If you're using an iPhone X/XS/XS, then remove the battery case.
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Reinsert the battery.
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Connect the iPhone to your computer.
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Connect the iPhone and iTunes
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Sync the iPhone.
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Enable "Use Toggle the switch to On.