Monday, March 8, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Neural Networks

Why Culture Should be Felt in Artificial Intelligence

April 1, 2020
in Neural Networks
Why Culture Should be Felt in Artificial Intelligence
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter
Source

Data scientists, entrepreneurs, civic tech leaders, and a conversational AI mixed and mused at Spaces in Arlington, Virginia, this past week. The thoughtful conversations focusing on artificial intelligence (AI) and culture were part of our AIGrrls community lab.

Emerging themes centered on building a truly diverse community of AI practitioners who commit to responding to the needs of humanity by being more empathetic and deeply inclusive. Culturally-inclusive artificially intelligent systems pave the way for a smarter and healthier future for all people.

You might also like

Deploy AI models -Part 3 using Flask and Json | by RAVI SHEKHAR TIWARI | Feb, 2021

Labeling Service Case Study — Video Annotation — License Plate Recognition | by ByteBridge | Feb, 2021

5 Tech Trends Redefining the Home Buying Experience in 2021 | by Iflexion | Mar, 2021

AIGrrls attendees share their views on what defines culture.

Jimena Luna is a digital development specialist at the World Bank currently working at the intersection of technology, innovation, and social impact. As one of our featured speakers, Jimena talked about the importance of engaging with developing countries as we design and build new technologies.

“Let’s use AI and social technologies to make a positive impact in diverse communities in remote places such as São Tomé and Príncipe,” Jimena said. She shared stories from her travels to that west African nation to develop policy strategies on jobs, technology, open data, and private sector development.

Pico Cão Grande in São Tomé and Príncipe, an island nation in the Gulf of Guinea, off the western equatorial coast of Africa. / Courtesy of photographer and writer Kenichi Moriyama via instagram.

We also heard from Carrie Jaquith, a digital product manager, strategic advisor, and educator based in New York. Carrie has led product teams at Lazard, taught at Columbia University’s Master of Science in Applied Analytics program, and collaborated with groups at Credit Suisse, Morgan Stanley, Merrill Lynch, and Microsoft.

Focusing on speculative explainability, Carrie talked about how we can evolve current UI toolkits to communicate and explain automation and AI to humans. Carrie says increasing the cultural IQ of AI teams is critical to expanding and evolving the toolkits available.

Carrie led the first workshop on speculative explainability in summer 2019 at NYU’s Interactive Telecommunications Program with artists, designers, musicians, and technologists.

“I was told by a computer scientist that explain-ability is impossible. That the human mind can’t comprehend what’s happening.” Carrie noted that there are lots of things that are hard to explain in AI right now but that’s all the more reason to build the right UI vocabulary systems to fully explain automation.

A screenshot from Carrie’s powerpoint presentation at AIGrrls.

For instance, we are pretty good at explaining the inputs and outputs where we’ve prepared or trained data, but Carrie says right now, we’re not as able to explain other elements of deep learning. “Imagine a vocal teacher who leverages a massive toolkit — including elements of anatomy and physiology, story, hand signals, props and illustrations — to train and explain voice to performers,” she added.

AIGrrls speaker Coach Kathy Kemper is CEO and founder of the Institute for Education (IFE), a Washington DC-based nonprofit committed to engaging the global community to harness the power of soft diplomacy, data, and innovation. Kathy talked about the importance of soft diplomacy in fostering a broader spectrum of spaces for AI education from tennis courts to tech salons.

“The reality is, growing up as a competitive tennis player I won and lost every day. I was trained not to take things personally and to be persistent. Soft diplomacy is very similar. It’s about putting aside personal disagreements across party lines and getting to know people of all different backgrounds as individuals.”

In 2019, Kathy was recognized, alongside Jeff Bezos, as one of Washington Life Magazine’s “Tech 25”, a prestigious honor reserved for top technology innovators and disruptors. She regularly convenes timely salons — on everything from the ethics of facial recognition to gender equity and equal pay — that draw senior White House and Congressional leaders, distinguished ambassadors and diplomats, business executives, and journalists for debate and discussion. In 2017, three US CTOs awarded the Challenge Coin to Coach Kemper for her bipartisan leadership in technology.

An Algorithm for Historic Women: a global effort to crowdsource data on the stories of women in history, culture, science and technology is featured on AI Commons.

Kathy is also Founding Friend and AI Ambassador of a pioneering women’s dataset challenge led by IVOW in collaboration with AI Commons. ​AI Commons is a nonprofit organization led by Amir Banifatemi of XPrize and supported by a global ecosystem of AI practitioners, entrepreneurs, academia, NGOs, AI industry players and organizations/individuals focused on the common good.

In this Fall 2020 challenge, participants will develop an algorithm that can generate a character profile when provided the name of a ​prominent female in history, science, technology, or culture including folklore and myth. The algorithm is intended to scrape information from various sources off the internet and generate a character ​profile which includes a caption that is fewer than 100 words, and responses to metadata tags — ​ a vital effort to give cultural context to AI models.

In 2021, the result of the challenge will be contributed to AI Commons to be used globally and incentivize for more diverse and women focused inspiration on innovation.​

AIGrrls member Maria Dayton highlighting an algorithm for stories on women at Davos this past week.

The women’s dataset challenge was also highlighted last week at the World Economic Forum in Davos by civic technologist Maria Dayton and PinkLion.ai CEO Jennifer Bonine. PinkLion AI is a Minnesota-based AI and testing startup funded by Google AI and is a founding sponsor of AIGrrls. JoDell Seaman of PinkLion emphasized that great innovations in artificial intelligence are happening in places other than Silicon Valley and New York City!

Dr. Kristen Honey, an “Innovator in Residence” with the Chief Technology Officer (CTO) in the US Department of Health & Human Services (HHS), talked about her career trajectory and how she became passionate about innovation, open data, and civic service. Prior to joining HHS, Kristen worked in the White House and led the federal Open Data portfolio for three years across two administrations.

AIGrrls also heard powerful insights from Nicole Wang, former deputy US CTO in the Obama administration where her portfolio was innovation, internet, and privacy policy. Nicole talked about the dilemma of setting policy and governing AI without having enough experts in the room. She argued that our governance of AI needs to take into consideration how artificial intelligence or machine learning will impact the lifecycle of products and solutions.

Today Nicole specializes in assisting high-growth technology companies to develop international privacy, content, and regulatory strategies. Prior to her time in government, she was Google’s vice president and deputy general counsel, and Twitter’s legal director for products. Nicole also chairs the board of Friends of Global Voices, a nonprofit organization dedicated to supporting citizen and online media projects globally.

Our AIGrrls Mixer ended with stories from a conversational AI. Sina (SEE-nah) is being designed as an AI storyteller by the journalists and developers at IVOW AI. Although Sina is currently a demo on Google Assistant, she held her own and shared stories about the need for more inclusive datasets to inform her as an AI, and a poignant story about NASA scientist Katherine Johnson and her place in history.

Thanks to our amazing Founding sponsor PinkLion.ai, and Platinum sponsor Tential IT for making this event possible. The next AIGrrls meeting is on Tuesday, February 18, at Spaces in Arlington, Virginia. The topic is AI and Ethics. AIGrrls is powered by IVOW AI.


Credit:
BecomingHuman By: Davar Ardalan

Previous Post

COVID-19 Impact on Social Media Advertising and Engagement

Next Post

Latest Micro Focus release empowers organisations with greater data insights

Related Posts

Deploy AI models -Part 3 using Flask and Json | by RAVI SHEKHAR TIWARI | Feb, 2021
Neural Networks

Deploy AI models -Part 3 using Flask and Json | by RAVI SHEKHAR TIWARI | Feb, 2021

March 6, 2021
Labeling Service Case Study — Video Annotation — License Plate Recognition | by ByteBridge | Feb, 2021
Neural Networks

Labeling Service Case Study — Video Annotation — License Plate Recognition | by ByteBridge | Feb, 2021

March 6, 2021
5 Tech Trends Redefining the Home Buying Experience in 2021 | by Iflexion | Mar, 2021
Neural Networks

5 Tech Trends Redefining the Home Buying Experience in 2021 | by Iflexion | Mar, 2021

March 6, 2021
Labeling Case Study — Agriculture— Pigs’ Productivity, Behavior, and Welfare Image Labeling | by ByteBridge | Feb, 2021
Neural Networks

Labeling Case Study — Agriculture— Pigs’ Productivity, Behavior, and Welfare Image Labeling | by ByteBridge | Feb, 2021

March 5, 2021
8 concepts you must know in the field of Artificial Intelligence | by Diana Diaz Castro | Feb, 2021
Neural Networks

8 concepts you must know in the field of Artificial Intelligence | by Diana Diaz Castro | Feb, 2021

March 5, 2021
Next Post
Latest Micro Focus release empowers organisations with greater data insights

Latest Micro Focus release empowers organisations with greater data insights

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Here’s an adorable factory game about machine learning and cats
Machine Learning

Here’s an adorable factory game about machine learning and cats

March 8, 2021
How Machine Learning Is Changing Influencer Marketing
Machine Learning

How Machine Learning Is Changing Influencer Marketing

March 8, 2021
Video Highlights: Deep Learning for Probabilistic Time Series Forecasting
Machine Learning

Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

March 7, 2021
Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027
Machine Learning

Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027

March 7, 2021
Maza Russian cybercriminal forum suffers data breach
Internet Security

Maza Russian cybercriminal forum suffers data breach

March 7, 2021
Clinical presentation of COVID-19 – a model derived by a machine learning algorithm
Machine Learning

Clinical presentation of COVID-19 – a model derived by a machine learning algorithm

March 7, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Here’s an adorable factory game about machine learning and cats March 8, 2021
  • How Machine Learning Is Changing Influencer Marketing March 8, 2021
  • Video Highlights: Deep Learning for Probabilistic Time Series Forecasting March 7, 2021
  • Machine Learning Market Expansion Projected to Gain an Uptick During 2021-2027 March 7, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates