All parents and teachers, not just those who work with gifted kids, are often concerned about how to make the best decisions for each unique child. All children need custom attention to help them grow up resilient, flexible, and compassionate. The challenge of working with gifted children is that it can feel isolating and lonely without proper support and resources. Sometimes just a little advice, validation, or encouragement, can go a long way towards working through the tough spots. Because of this 优蜜视频 offers complimentary Gifted Support Group (GSG) meetings during the school year.

GSG meetings invite leading professionals to share their knowledge and experience. These meetings provide support and community in a space specifically for shared discovery and exchanging resources and ideas. Someone else is going through or has gone through the same struggles. The GSG meetings offer a community eager to share what they have learned in their journey through not only gifted education, but also gifted living.

Talking about common struggles together is a great way to brainstorm solutions. Maybe something that didn鈥檛 work for one student is the fix another family is looking for. Sharing experiences with other parents and educators who interact with gifted children has proven to be enormously helpful in supporting gifted students strive towards reaching their full potential.

Sharing what we have learned may help someone else forego the struggles the community has encountered. But the right community of like-minded people can provide more than just new information, it allows you to be yourself. You can enter the space with no fear of judgment.

Join our community as we work together for continued success.

Here are some recording and resources from last year鈥檚 GSG meetings.

Linda Powers

Jill Stowell

Cynthia Molt

Susanna Pollack

Bethany Kwan

Maya Sissoko

Bonus

• with 优蜜视频 President, Betsy Jones sits down with Jill Stowell of The Stowell Learning Center.

If someone had asked me before my ninth grade summer if I knew what Artificial Intelligence was, I would have talked about Ava in the film Ex Machina. Ava, though technically a robot, has a consciousness, morals of her own, an ability to manipulate emotion and an ability to act on her own instinct. The film inspires unsettling uncertainty: if AI beings like Ava were to join society, would they be considered human? What role would we play in such a world?

In reality, however, AI is far from being as autonomous as Ava is. Though pop culture has popularized an image of AI as robots and superhumans, an AI algorithm can actually be as simple as a 5-line program that scans a massive amount of data, looking for patterns within this data. Using these patterns, the program can make predictions for new instances of related data. For example, Google Photos was trained with millions of photos of labelled entities, so that when given photos it had never seen before, it could categorize these photos by what they pictured.

Although this explanation generalizes certain aspects of AI, what鈥檚 significant is that the data used to train AI algorithms is chosen by human programmers. This means that programmers can, even if unconsciously or inadvertently, introduce their racial and other biases into the algorithms they create. This can sometimes be innocuous, but more often this can institutionalize these biases. For instance, in 2015, Google Photos鈥� photo categorization software mislabeled a black person as a gorilla. This is only one extremely infamous incident out of thousands.

One source of the problem is the astounding lack of diversity in the AI industry; at Google, only 2.5% of the workforce is black, only 3.6% is Latinx and only 0.3% is Native American. The lack of true demographic representation in the AI industry is an issue that is under-acknowledged but increasingly pressing as the use of AI technologies propagates across industries and sectors, including law enforcement, healthcare and scientific research.

AI4ALL was founded by world-renown Stanford professor Fei-Fei Li and then-graduate student Olga Russakovsky with the goal of educating high schoolers from underrepresented groups, including women, about AI and the humanitarian impact AI can have if done right. The organization鈥檚 aim is to diversify both the AI workforce and inform on the ways in which AI can be applied to social issues.

In 2017, I participated in a two-week , where close to thirty girls were exposed to a myriad of lectures by Stanford professors and other leaders in AI; we learned about how AI is applied to everything from education to linguistics research to robotics. We were also taught how to program our own AI algorithms addressing a social issue; one group identified cancerous tissue with Computer Vision, a subsect of AI, and my group used another subsect of AI, called Natural Language Processing, to categorize Tweets from the time of a natural disaster into topics like 鈥渇ood,鈥� 鈥渨ater,鈥� 鈥渙ther鈥� and 鈥渕isc.鈥� in order to expedite resource allocation for disaster relief. I learned from the experience that AI can be leveraged as a tool for social good and as a means of addressing community needs in unprecedented ways.

AI4ALL has been one of the most enriching programs I鈥檝e ever been able to participate in, and the alumni community is a group of some of the most talented yet approachable people I鈥檝e ever met. I鈥檝e made some of my closest friends through AI4ALL, and each is an inspiration; one founded a nonprofit STEM education organization that has taught over 500 children through over 70 workshops, and another started the Bay Area鈥檚 first all-girl high school hackathon. AI4ALL facilitates such efforts by providing a vast network of resources, support and funding.

In conclusion, I truly hope many members of the CDB community choose to apply to an AI4ALL program this summer. For those who are too old, there are still an infinite number of ways to begin understanding how to leverage AI algorithms for social change; AI4ALL is digitizing their curriculum on an OpenLearning platform that will be released in only a few months, and other platforms like Coursera and edX also offer online courses taught by university professors and AI experts.

AI could be the solution to predicting wildfires, ending racial discrimination in the justice system and understanding how to treat chronic illnesses. The industry just needs a diverse workforce – and you – to back it.

Am茅lie Buc is a 2015 Caroline D. Bradley Scholar. She is currently a junior at Trinity School in New York, New York. To learn more about the CDB Scholarship or apply for the 2019 class, visit the .