Talk:Rana el Kaliouby

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Changes That Were Rejected
Hello,

This is Rula El Kaliouby, Rana El Kaliouby's sister and her Communication Strategist. Kindly note that i have updated Rana's profile as per the below. The changes were not accepted even though they are valid and cited.

In the introduction part:

Rana el Kaliouby, Ph.D (Arabic: رنا القليوبي‎; born 1978) is a pioneer in Artificial Intelligence as well as the co-founder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab. After growing up in Cairo, Egypt, she earned a PhD in Cambridge University, and then joined the MIT Media Lab as a research scientist, where she spearheaded the application of emotion recognition technology in a variety of fields, including mental health and autism. She left MIT to co-found Affectiva, the company credited with defining the field of Emotion AI and now works with 25% of the Fortune 500 and is a leader in emotion AI. Rana was named by Forbes to their list of America's Top 50 Women in Tech, and Fortune included her in their list of 40 under 40 and was chosen by the World Economic Forum to be a Young Global Leader and member of WEF’s Future Global Council on Robotics and Artificial Intelligence. She speaks regularly on ethics in AI and fighting bias in AI at conferences from the Aspen Ideas Festival to the Wall Street Journal’s Future of Everything. She hosted a PBS Nova. Rana el Kaliouby is on a mission to humanize technology with artificial emotional intelligence, or what she calls “Emotion AI.” through developing a “deep learning” platform that combines facial expression with tone of voice to infer how a person is feeling. She is the Author of Forthcoming Book "Girl Decoded"; A Scientist's Quest to Reclaim Humanity by Bringing Emotional Intelligence to Technology.

In the Career Section:

Updated: which has now grown to nearly 6 million faces analyzed in 75 countries with 5,313,751 face videos, for a total of 38,944 hours of data, representing nearly 2 billion facial frames analyzed.,[8] to understand people's feelings and behaviors.[9]

In 2016, she became the CEO of Affectiva.

In November 2019, Affectiva was covered as a case study at Harvard Business School on the Emotion AI category with Professor Shane Greenstein. [10]

I have also uploaded the correct BIO picture of her. — Preceding unsigned comment added by Cairue (talk • contribs) 10:53, 6 January 2020 (UTC)


 * Due to Wikipedia's neutral point of view policy, we have to be very careful with phrases like "acclaimed AI startup" (especially in the first sentence). But if you happen to know of any secondary sources that describe the company in this way, it should be fine to add a statement that the company was described as this by such-and-such a source.  Meanwhile, the new picture seemed to have copyright issues: this can be fixed if you have a picture you're willing to put an acceptable license on.  I think everything else you added is now in the article, but please let us know if we missed anything!  (It might be easier to work one sentence at a time.) Silas S. Brown (email, talk) 18:09, 8 January 2020 (UTC)

Detailed Overview
Rana El Kaliouby:

Rana El Kaliouby is an Egyptian computer scientist who became interested in the technology behind computer emotion detection. Later known as Emotion AI, Rana developed machine learning models to predict human facial expressions. She utilized millions of data points in the form of facial videos to train her models, which were able to accurately interpret human emotion directly through cameras on any smart device. This led to the creation of Affectiva where Rana resides as co-founder and CEO [1].

Early Life and Education:

Rana El Kaliouby grew up in Kuwait and Cairo, Egypt. Many of her relatives were highly educated and had careers in both technology and education. She followed in her family's footsteps by completing her undergraduate degree at the American University in Cairo. From there, she went on to finish her graduate education at Cambridge University where she got her PhD. Afterward, she moved to the United States to work at The MIT Lab as a research scientist [1]. At MIT, she honed her emotion recognition computer science skills with applications in both autism and mental health.

The Pain Point:

While Rana El Kaliouby studied abroad in the United Kingdom and the United States she became homesick. She noticed the immense amount of time she was spending on her computer learning computer science, machine learning, and artificial intelligence. This experience sparked the discovery of her pain point, you can’t convey emotions easily through a computer [2]. She wanted to explain how she felt but found it very difficult to communicate over the internet. This ignited her passion for computer emotion detection which has a variety of applications in different fields.

Innovations:

To reiterate, Rana El Kaliouby's life's work revolved around “ humanizing technology before it dehumanizes us.” While working at MIT, she and a couple of colleagues developed emotional Artificial Intelligence technology and spun it into a company called Affectiva. The company focused its attention on further developing computer vision which could easily and effectively detect user emotions through any screen. Rana believed this technology had the capability of impacting a variety of industries. While at Affectiva, she narrowed her technological applications to mental health issues as well as autism [3].

Societal Impact:

During Rana El Kaliouby’s Ted Talk, she believed the technology she had developed could be further developed by others. This led to her actively helping and releasing lots of her work publicly so other developers could integrate her findings into a variety of applications. For example, her emotion AI tech found important applications in market research, the automotive industry, conversational interfaces, robotics, and education [4]. Specifically within the market research niche, her technology was used in ad testing, entertainment content testing as well as qualitative and behavioral research.

Innovation Today:

While Affectiva was founded over 15 years ago, many of the underlying emotion AI technologies developed by Rana El Kaliouby are still being used today. Recently, “Rana realized a successful exit for Affectiva in June 2021 when the company was acquired by Smart Eye, where she is currently focused on scaling the company to a global AI powerhouse [3].” Smart Eye is a Swedish Artificial Intelligence company that “develops Human Insight AI, technology that understands, supports and predicts human behavior in complex environments [5].” This demonstrates the importance of Rana’s work and how it is still being actively used today, especially with the recent boom in AI and big data.

[1]: Penguin Random House. (n.d.). Penguin Random House. ( https://www.penguinrandomhouse.com/authors/2213884/rana-el-kaliouby/)

[2]: Forbes. (2024). Forbes Profiles. ( https://www.forbes.com/profile/rana-el-kaliouby/?sh=263d52497e98)

[3]: Dr. Rana el Kaliouby. (n.d.). Rana el Kaliouby. ( https://ranaelkaliouby.com/about/)

[4]: TED. (2015). TEDWomen. ( https://www.ted.com/talks/rana_el_kaliouby_this_app_knows_how_you_feel_from_the_look_on_your_face?language=en)

[5]: Wikipedia. (2023). Wikipedia. [ https://en.wikipedia.org/wiki/Smart_Eye] Jackand11 (talk) 01:04, 9 April 2024 (UTC)


 * The above text was put here by a new user User:Jackand11 after someone reverted their changes to the article. We should probably discuss what parts of it can be incorporated into the article.  The first question I'd ask is: can you confirm that this wording is entirely your own work?  I was not able to find it on other sites via Google, but it does look like it might have been taken from a magazine article or something, and, due to copyright, we're not allowed to just lift out text from magazine articles and put them into Wikipedia entries as-is: we have to use our own words and cite the source.  If it was your own work, I do wonder if it can be adjusted so that it is written in the style of an encyclopaedia rather than in the style of a magazine.  As it is, it seems to be "telling a story", especially due to phrases like "became interested in", "followed in her family's footsteps", "from there, she went on to", "honed ... skills", etc.  That's great for a magazine article, but on Wikipedia it is likely to make other editors think "that text looks copy/pasted from a magazine so let's hit the Undo button before we get in trouble for copyright infringement".  So it needs to be written in a more "just state the facts" style, although we can always point to another source that tells the story better.  And as this is a biography of a living person, we have to be especially careful about pointing to a source for everything we say.  (The idea is nobody can be sure which editors they can trust on this platform, therefore everything has to be sourced to other publications.  But still not copying any source exactly!)  It might work better to start with the article as it already is and make changes to it incrementally i.e. is there any sentence that should be added somewhere, anything that should be changed, etc, citing sources as we go. Silas S. Brown (email, talk) 16:39, 12 April 2024 (UTC)