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Timnit Gebru is the Co-Founder and AI Ethics Scholar of Google.



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Dr. Timnit Gebru is a prominent member of the AI-ethics community and a co-founder of Google. Black in AI and Distributed Artificial Intelligence Research Institute were founded by her. She was well-known as an AI ethics scholar. Her work has been extensively covered in mainstream media such as The Economist, Wired, and The New York Times. Forbes and Wired named her one of the top 50 females in the world.

Google co-founder Dr. Timnit Gebru

Gebru was recently fired by Google after an internal dispute over a paper she published that criticised Google technology. Gebru's firing led to a new wave in organizing among Tech workers who supported their boss. According to reports, Google asked Gebru for the paper's retraction. A group of Google employees signed an open-letter demanding an explanation. Gebru left the company shortly after her firing was announced.

While the company has denied the allegation, the dismissal threatens to reignite a simmering anger over its treatment of its workers. In the past two years, Google has cracked down on dissent among its workforce, firing workers who advocated for diversity or questioned the ethics of its work. Gebru's termination triggered a harassment campaign against the co-founder of Google.


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Black in AI was co-founded by her.

Black inAI was founded by Timnit Gebru with the goal of increasing visibility and presence for Black people in artificial intelligence. Her PhD was completed at Stanford Artificial Intelligence Laboratory. During this time, she also co-wrote her thesis which dealt with computer vision. The 2017 LDV Capital Vision Summit was awarded the thesis. Timnit has worked with Apple on circuit design. She is also an entrepreneur and cofounded Black in AI in order to support black people in this field.


Dr. Timnit Gbru has been successful in securing funding from major foundations ever since she founded the organization. The MacArthur Foundation donated $3.7 million to her work. DAIR Foundation has a similar approach to support research that is focused on community needs and not the industry's interests. DAIR plans to publish research findings at academic journals or on other platforms. DAIR will publish research findings at a slower pace than those published by industry-led companies but will still try to make the findings accessible to the public and make them available to the masses.

She was cofounder of Distributed Artificial Intelligence Research Institute

Timnit Geobru, founder of the Distributed Artificial Intelligence Research Institute (DAIRI), has had a major impact on artificial intelligence. Her groundbreaking work is already shaping the conversation around AI. She is currently a member of the Partnership on AI's steering committee, which is a group of organisations dedicated to responsible AI-development. Her efforts have had a major impact on the field and she will continue to do so.

Gebru, who had co-authored a paper with others, quit Google in December 2020. Google executives had instructed Gebru not to include his coauthors from a paper which they claimed was a'mistake. Gebru did not comply, and threatened to resign as a result. She was fired and then resigned. But, Google claimed that it had accepted the resignation.


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She was a well-respected scholar in AI-ethics.

The sudden firing of Timnit Gebru has created a firestorm within Google and the AI-ethics community. Gebru was fired amid growing tensions between tech companies and academic community. The National Labor Relations Board filed a complaint about Google spying on its employees. Google has since denied the allegations and appointed Marian Croak (an engineering vice president) who has no previous experience in AI.

Dr Gebru was an academic well-known in the AI ethical community. She had previously been involved in research on algorithmic bias, facial recognition systems, and algorithmic bias. She had previously co-founded the Black in AI community and was an outspoken advocate of diversity in tech companies. Gebru's wrongful termination has left a gaping hole in the AI community.




FAQ

What industries use AI the most?

The automotive industry was one of the first to embrace AI. BMW AG uses AI for diagnosing car problems, Ford Motor Company uses AI for self-driving vehicles, and General Motors uses AI in order to power its autonomous vehicle fleet.

Other AI industries include banking and insurance, healthcare, retail, telecommunications and transportation, as well as utilities.


How does AI work

It is important to have a basic understanding of computing principles before you can understand how AI works.

Computers store information on memory. Computers use code to process information. The code tells the computer what it should do next.

An algorithm is an instruction set that tells the computer what to do in order to complete a task. These algorithms are usually written in code.

An algorithm can be considered a recipe. A recipe might contain ingredients and steps. Each step might be an instruction. For example, one instruction might say "add water to the pot" while another says "heat the pot until boiling."


What uses is AI today?

Artificial intelligence (AI), a general term, refers to machine learning, natural languages processing, robots, neural networks and expert systems. It's also called smart machines.

The first computer programs were written by Alan Turing in 1950. He was fascinated by computers being able to think. In his paper, Computing Machinery and Intelligence, he suggested a test for artificial Intelligence. This test examines whether a computer can converse with a person using a computer program.

John McCarthy, in 1956, introduced artificial intelligence. In his article "Artificial Intelligence", he coined the expression "artificial Intelligence".

We have many AI-based technology options today. Some are simple and straightforward, while others require more effort. They include voice recognition software, self-driving vehicles, and even speech recognition software.

There are two major categories of AI: rule based and statistical. Rule-based uses logic in order to make decisions. To calculate a bank account balance, one could use rules such that if there are $10 or more, withdraw $5, and if not, deposit $1. Statistics is the use of statistics to make decisions. A weather forecast may look at historical data in order predict the future.


Who is the inventor of AI?

Alan Turing

Turing was first born in 1912. His mother was a nurse and his father was a minister. He was an exceptional student of mathematics, but he felt depressed after being denied by Cambridge University. He began playing chess, and won many tournaments. He worked as a codebreaker in Britain's Bletchley Park, where he cracked German codes.

He died in 1954.

John McCarthy

McCarthy was born on January 28, 1928. McCarthy studied math at Princeton University before joining MIT. He created the LISP programming system. He was credited with creating the foundations for modern AI in 1957.

He died in 2011.


What is the future of AI?

Artificial intelligence (AI), the future of artificial Intelligence (AI), is not about building smarter machines than we are, but rather creating systems that learn from our experiences and improve over time.

So, in other words, we must build machines that learn how learn.

This would allow for the development of algorithms that can teach one another by example.

We should also look into the possibility to design our own learning algorithm.

It's important that they can be flexible enough for any situation.



Statistics

  • 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)
  • According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
  • 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)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
  • 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)



External Links

hbr.org


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en.wikipedia.org


hadoop.apache.org




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Timnit Gebru is the Co-Founder and AI Ethics Scholar of Google.