Sitting in the fifth row, hearing Tufecki’s call-to-action felt like lightning striking a metal rod somewhere inside me. I had skipped out on a week of school during my senior year at MIT to attend this conference. Tufecki was directly asking tech employees to become scientists for responsibility, using their collective voice and freedom of speech to refuse to build unethical algorithms and instead build alternatives. “I probably won’t be invited back for saying this… but organize, insist on having a voice, and refuse to build unethical technology.” In 2019, self-proclaimed “techno-sociologist” Zeynep Tufekci stood on stage at one of the largest machine learning conferences, sponsored by the likes of Facebook, Google, and Amazon, and in front of hundreds of tech employees stated: In this third GDI Deep Read, Research Analyst Anna Sappington reflects on her own experiences with machine learning to explore the nuanced concept of ‘algorithmic fairness’ as a way to prevent both socially and technically embedded bias within real-world tools. Most media coverage discussing algorithmic biases has focused on social and cultural factors - yet technical biases also play a critical, yet largely invisible role. ![]() For application details, follow the link below.Welcome to 2021! Over the holidays, our team at GDI has been reflecting on the increasing impact of algorithms on everyday decision processes, especially given current world events. Stanford AI4ALL seeks motivated young and eager students in 9th grade (raising 10th graders during the summer) to participate in a life-changing, three-week online summer program. Olga Russakovsky (Princeton University), two world-renowned AI researchers dedicated to expanding access to their field. Both SAILORS and AI4ALL were founded by Dr. This year program is co-organized by the Stanford Artificial Intelligence Laboratory and the Stanford Institute for Human-Centered Artificial Intelligence (HAI), but with a new, updated curriculum developed by AI4ALL, a nonprofit organization dedicated to training the next generation of AI researchers. ![]() SAIL and HAI offer Stanford AI4ALL, a three-week online program for young students in grade 9 that aims to increase diversity in computer science. And in turn, the long-term vision for AI and STEM is for the fields to train a more diverse generation of technologists who have humanistic goals in mind when designing next-generation technologies. This annual summer program is built upon the hypothesis that to increase diversity representation in the field of AI, CS, and STEM at large, it is critical to introduce the technology along with its humanistic mission statements. This program has since been renamed to Stanford AI4ALL, signaling a partnership between SAIL and education non-profit AI4ALL. ![]() With this mission in mind, SAILORS (short for the “Stanford Artificial Intelligence Laboratory’s Outreach Summer Program”) was created in 2015 to expose high school students in underrepresented populations to the field of artificial intelligence. ![]() As the field of AI continues to make a bigger impact in the world, researchers and educators at SAIL believe that to develop the most inclusive, humanistic, and benevolent technologies, it is imperative that the field of AI includes students, researchers, and technologists from all walks of life.
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