Abstract: Although the proportion of female practitioners in the field of science and technology has always been lower than that of men, this does not affect their luminescence and fever in scientific research, especially in the field of AI. Recently, Forbes published an article to review 8 women who have brought outstanding achievements in the AI field. Let’s witness their wisdom and strength together.
Original: hyperai hypernerve
Key words: female AI leadership
It is an indisputable fact that there are far more men than women in the field of artificial intelligence. According to the research of wired and element AI in 2018, only 12% of global AI researchers are women.
However, the weakness in number does not mean that women will be inferior in the field of AI. in fact,There is no scientific evidence that women and men have different talents and abilities in computer related fields.
Today, there are many outstanding women in the world who stand at the forefront of AI and make irreplaceable contributions to promoting the development of AI. They are also shaping the future of artificial intelligence and will become an example of the next generation of AI leaders.
Recently, Forbes AI columnist and venture capital expert of venture capital firm highland Capital Partners Rob Toews, the author lists eight representative female leaders in the field of artificial intelligence. The field of AI is very different because of their contribution.
Note: the AI female leaders described below are ranked in no order.
Joy buolamwini is called “the conscience of the AI revolution”.
When she was a graduate student at the Massachusetts Institute of Technology (MIT), her pioneering work on algorithm bias made the world pay attention to race and gender bias in facial recognition systems.
Because of her research, Amazon, Microsoft and IBM stopped the production of facial recognition products respectively in 2020 and admitted that the technology is not suitable for public use.
Buolamwini’s work was highlighted in the documentary coded bias
Buolamwini is at the forefront of the emerging movement to verify and solve the social impact of artificial intelligence technology. She promotes the movement through her non-profit algorithmic justice alliance.
Buolamwini said in the struggle against algorithm deviation: “when I began to discuss this in 2016, it was still a very strange concept for many people. But today, as soon as I surf the Internet, I will see biased news reports about the AI system. People have only just realized the fact that the problem exists. Of course, with this awareness is good, and then we need to take action. This is where we are. “
From Sri (International Stanford Research Institute) to Google, from Uber to NVIDIA, Claire Delaunay has held technical leadership positions in many of the most iconic organizations in Silicon Valley. She is also co-founder and engineering director of Otto, a self driving truck startup.
During his tenure at NVIDIA, Delaunay focused on building tools and platforms to achieve large-scale deployment of automation equipment.
When talking about the trade-offs between large companies and start-ups, she said:“Some breakthroughs can only be achieved in large companies, and some breakthroughs can only be achieved in start-ups。 Startups are very good at deconstructing things and making leaps and bounds. Large companies are very good at consolidating their breakthrough achievements, building a strong technological foundation and realizing future innovation. “
Rana El kaliouby has been working to make AI more emotionally intelligent.She is considered a pioneer in the field of emotion AI (emotional artificial intelligence).
In 2009, she co founded affectiva with MIT to develop a machine learning system that can understand human emotions. Today, the company’s technology has been used by 25% of Fortune 500 companies, including media analysis, consumer behavior research and automotive use cases（ We have also introduced the technology and application cases of affectiva for many times. For details, seeIs your girlfriend angry? You know her better than straight men.）
She was selected by Forbes as the “top 50 American women in science and technology” in 2018
Kaliouby introduced her overall view in this way: “my life’s work is to humanize technology before technology makes us lose humanity.”
Daphne Koller has a wide career, which also shows the symbiotic relationship between academia and industry, which is a landmark feature in the field of artificial intelligence.
Since 1995, Koller has been a professor at Stanford University, focusing on machine learning. In 2012, she co founded coursera, an educational technology start-up, with Wu Enda, a professor at Stanford University and head of AI laboratory. Today, coursera is an education and technology giant with an annual turnover of $2.6 billion.
Koller He is a MacArthur scholarship winner
(Note: the award is commonly known as the “Genius Award”, which is one of the highest interdisciplinary awards in the United States)
Koller’s most ambitious career so far may be her latest company. She founded insitro in 2018, a company that applies machine learning to transform drug R & D and development. Just two years after its establishment, insitro has raised about US $250 million from Andreessen Horowitz and other companies, and recently announced the establishment of an important business partnership with Bristol Myers Squibb.
Koller gives the following suggestions to small partners who are just beginning to work in the AI field:“Choose an AI application that is really important and has real social value. After all, not all AI applications are the same. Then put in hard work to really understand this field.I was able to build insitro because I spent 20 years studying biology. At present, if I want to recommend an area to young people, it may be energy and environment. “
Few people like Li Feifei have made such outstanding contributions to the AI world in the 21st century.
She was born in Beijing in 1976 and grew up in Sichuan. At the age of 16, she moved to New Jersey with her parents. As a young Princeton Professor,Li Feifei proposed and led the Imagenet project in 2007, which contains a database of millions of labeled images. Imagenet has changed the development track of the whole AI, which is obvious to people in the industry.
The foresight behind Imagenet is that large data sets (rather than specific algorithms) will be the key to unleashing the potential of AI. When Geoffrey Hinton, the godfather of AI, and his team demonstrated the neural network model based on Imagenet training for the first time in the 2012 Imagenet competition, the modern era of deep learning was born.
After that, Li Feifei became a lifelong professor of Stanford University. He once served as Gu Geyun’s chief scientist of AI / ml, led the AI Laboratory of Stanford University, joined the twitter board of directors, co founded the famous non-profit organization ai4all, and founded the people-oriented AI Institute (HAI) of Stanford University.
Li Feifei has always been active in the AI community and won the “influence world Chinese Award” in 2018
In many of her leadership positions, Li Feifei tirelessly advocated a more inclusive, fair and humane approach to AI.
Li Feifei explained why AI diversity is so important: “our technology and human values do not exist independently. Technology also represents the human values behind its design, development and application.Therefore, if we are worried about killer robots, what we should really worry about is the creators of technology.We hope that the creators of this technology represent our values and our common humanity. “
Anna Patterson has outstanding achievements in developing and deploying artificial intelligence products, whether in large technology companies or start-ups.
Patterson first joined Google in 2004 as a long-term executive,As Google’s vice president of engineering, she has led AI for many years.
In 2017, she founded Google’s AI venture capital fund gradient ventures, which now mainly invests in early-stage AI startups.
Patterson developed recall search engine technology and sold it to Google in 2004
Patterson is also a board member of many promising AI startups, including algorithmia, labelbox and test.ai. She is also a board member of the listed company square.
Before investing in any AI startup, she would ask herself a question: “have I been thinking about their vision and mission?”
Daniela Rus is one of the world’s leading robotics experts. She is a professor at the Massachusetts Institute of Technology (MIT) and the first female director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).
CSAIL is one of the largest and most prestigious AI laboratories in the world, which also makes her a member of this legendary family: for decades, the former directors of CSAIL (and its predecessor laboratories) include AI legends Marvin Minsky, JCR Licklider and Rodney Brooks.
The pioneering research of Rus has made the latest progress in network cooperative robots (robots that can work together and communicate with each other), self reconfiguration robots (robots that can automatically change their structure to adapt to the environment) and software robots (robots without rigid bodies).
Daniela Rus and her team jointly developed important papers and technical achievements such as “grab” software robot and origami robot reported by deeptech and MIT Technology Review
Rus talked about a common misconception about artificial intelligence: “people must understand that AI is just a tool. Like any tool, it’s not good or bad in essence. It’s all about what we decide to do with it. I believe we can use AI to do very positive things, but it doesn’t seem inevitable. “
Shivon zilis has been working for the leading teams of several cutting-edge AI companies: openai, neuralink, Tesla and Bloomberg beta.
She is the youngest board member of openai. In neuralink (brain computer interface company led by Elon Musk), zilis is responsible for high priority strategic planning in the CEO office.
Shivon Zilis Born in 1987, he graduated from Yale University and was selected by Forbes in 2015 Elite list under 30 (30 in total)
Zilis talked about her attitude towards new technology development: “nowadays, the concept of” building a moat “often appears, which surprises me.If you think the technology you are building is good for the whole world, shouldn’t you focus on expanding your technology tree as quickly as possible? Why should we slow down and disperse resources to hinder the progress of others? “
As eight representative figures in the field of AI, they let the world see that women are contributing to the field of artificial intelligence.
Nowadays, women’s power is also awakening. More and more AI summits and forums at home and abroad have begun to set up “women’s topics” to call on people to pay attention to women developers and researchers.
Scientific research is gender neutral, and gender diversity will also help eliminate prejudices in technology. Although there are still more men than women in AI industry, I believe this proportion will eventually be balanced.