📣 Calling all youth in the U.S.! 📣
The AI Future Lab wants to know what you think about artificial Intelligence. But instead of answering questions, we want you to get creative and share your memes!
WHO CAN PARTICIPATE?
Any young person residing in the United States. No background in technology is needed and you don’t need to be an expert in artificial intelligence.
RULES
Only 1 meme per participant
DEADLINE
April 6, 2021
ANSWER ONE OF THE FOLLOWING QUESTIONS BY CREATING A MEME
1. Do you know what AI is? If yes, share what AI is to you in a meme. If not, bruh do you live under a rock? Jk, just meme it out, if you have no clue what AI is.
2. What do you wish more of your friends knew about AI?
3. How do you think AI has already impacted your experience growing up with technology?
HOW DO I CREATE A MEME?
You can DIY or use any one of these online meme generators:
memegenerator.net, livememe.com, memedad.com, imgflip.com/memegenerator, makeameme.org,
PRIZES
1st Prize - $100 Amazon Gift card
2nd Prize - $50 Amazon Gift card
3rd Prize - $25 Amazon Gift card
The top 3 winning memes will be featured on the AI Future Lab social media and shared with the Global Shapers Community.
PANEL OF JUDGES
Jianyu Gao, AI Youth Council Member
Shalin Jyotishi, AI Future Lab Economy Working Group Lead, Senior Policy Analyst (Education and Labor) at New America, Global Shaper (Washington D.C.)
Lorny Pfeifer, AI Future Lab Co-Chair, Global Shaper, Venture Capital Investor and Data Scientist
1 Senior Leader from Industry [To be announced!]
May the best meme lord win!
To enter the meme competition, fill out the form below.
Requirements: Only 1 meme per participant. Competition is open only to youth living in the United States. Be creative and have fun!
The goal for the Mapping Global AI Ecosystems project is to include geographies that have burgeoning AI ecosystems as well as communities comprised of non-traditional backgrounds.
As part of the AI Future Lab's project "Mapping Global AI Ecosystem," we have built a map to showcase all computer science, machine learning, and AI-related organizations. This map showcases 4 categories: Research Labs, National Institutes, Study Groups (Meetups and Bootcamp programs), and Universities that either offer a degree program or teach courses in computer science, machine learning, artificial intelligence, data science or robotics.
We know that there are a handful of AI-centric maps like Stanford's AI Index or the Global AI Talent map from J.F. Gagne (Founder of Element.ai), however most of these maps focus on research and development institutions, academic research publications, or economic data in advanced economies. This project aims to map out ecosystems as well as educational and professional backgrounds that may not be typically included in the aforementioned reports. For example, Thailand has some impressive degree programs in machine learning and robotics. Also, more and more people are joining meetups / digital study groups to learn new skills to become machine learning engineers or data scientists.