Ethical Spectacle Research

A huge thank you to all the incredible teams who spent the entire weekend building such amazing projects! The Social Bias Hackathon marks another milestone for us, especially after the recent publication of our GUS-Net paper—a breakthrough in bias-detection modeling. This time around, we had four teams develop highly competitive projects: 🏆 Neutral-lens: Winner of the $1,000 top prize! Neutral-lens is a groundbreaking browser extension designed to reduce political bias in YouTube videos, particularly during election seasons and political debates. By analyzing news content and pinpointing biased language, this tool empowers viewers with a more balanced perspective. Created by: Luan N., Ajay Gnanasambanthan and Quy Hoang Nguyen 🥈 Why Don't You Be Nice?: Awarded the $500 second prize! This project tackles the harmful behaviors people often display online under the veil of anonymity. Instead of blocking or censoring negative actions, it provides a space for self-reflection, encouraging users to reconsider their words before potentially causing emotional harm to others. Created by: JeongJun Song, Albert Su, Jessie Wu, and Lauren Figueroa. ✨ AI Voice Turing Test Model: An innovative solution that not only performs sentiment analysis and distinguishes between robot and human voices but also detects potential biases within them. Created by: Mithun Shivakoti, Phaneendra Gavara, and Yoshita Yajjapurapu 🌐 Longitudinal Social Bias Detection: This team developed a Chrome extension that allows users to capture social biases on each page they visit. After browsing multiple pages, users can analyze the aggregated data to understand bias trends over time. Created by: Connor Belakovsky, Joseph Martinez Tawanda Vera, and Yoshita Yajjapurapu We are truly grateful to our judges—Hua W. , Ramazan Elsunkaev, Saurabh Bhutyani, Hitendra Chaturvedi, Mary Sully de Luque, Sarah Florini, and Elizabeth Grumbach—and mentors Jacob Peplinski and Rosalie Sutherland for supporting each team and providing such insightful feedback. Special thanks to Global Career Network and CS+Social Good at ASU for partnering with us as co-hosts. A big shout-out to Matthew Kohlbeck for hosting us at SkySong, The ASU Scottsdale Innovation Center. We deeply appreciate the support from Daniela Santangelo and Christopher Fox from Freeway and Startup World Cup of Arizona, who were with us throughout this journey and generously sponsored the prizes. Lastly, heartfelt thanks to Malek Attar, Atharva Vaidya, Shreyas Bachiraju, Dhruv B., and Kanav Gupta for dedicating so much time as volunteers and staff. This hackathon has been a challenging yet immensely rewarding experience for all participants and for us! We're excited to keep the momentum going as we continue to grow in tech and research and contribute positively to the community.

Last Chance to Join Our Hackathon! Applications close today—don't miss out on our 48-hour competition where you can win exciting prizes! By participating, you'll gain valuable networking opportunities, potential job offers, and a real project to enhance your profile. Sign up now: https://lnkd.in/gjgJhvj9

We are hosting a workshop today at 5 pm! Don't miss out a chance to learn about our upcoming Social Bias Hackathon in advance:) https://lnkd.in/g7CAMs4m

❗️❗️ Don't miss out on the chance to build a cool project and showcase it to our esteemed judges! We are excited to announce our lineup of judges for the upcoming Social Bias Hackathon happening on September 27th. Sign up now before the deadline on September 20th: https://lnkd.in/gjgJhvj9 Science Fair: https://lnkd.in/gqMkSxGt We are honored to have the following judges joining us: Saurabh Bhutyani, Ramazan Elsunkaev, Hua W., Joseph Bianchi, Elizabeth Grumbach, Shea Bryant, Hitendra Chaturvedi, Mary Sully de Luque, and Sarah Florini. We are excited to co-host this hackathon with the Global Career Network and CS+Social Good from ASU. Thanks for the partnership with Freeway and Startup World Cup of Arizona #aihackathon #asuskysong #phxdevs

We’re just days away from the start of our Social Bias Hackathon! Applications are open until September 20th, so don’t miss your chance to participate. This 48-hour, non-stop competition will bring together innovative minds to build cutting-edge tech, with teams showcasing their projects in a Science Fair-style demo open to public. No need to worry if you're not a developer! We’re assembling teams with diverse skills, including business talents, to take ideas from concept to completion. Date: September 27th-29th Kickoff: 5 pm Location: 1951@Skysong Sign up now, and you could be among the top talents selected to win exciting prizes! Apply here: https://lnkd.in/gjgJhvj9 Global Career Network, Freeway, Startup World Cup of Arizona, @CS+Social Good at ASU

Today, we hosted an insightful workshop focused on training BERT for bias detection in text and offered an exclusive preview of the NLP concepts that will be featured in our upcoming research paper, GUS-Net. We were excited to have over 50 passionate developers join the session. A special thank you to PHX Ventures for providing such an excellent space and to the Global Career Network for co-hosting this outstanding event. We also want to extend our gratitude to Elizabeth Taylor from PHX Ventures for her invaluable help in organizing this workshop. It's inspiring to see so many talented tech professionals in Arizona dedicated to learning, building, and advancing their careers. Our mission is to create opportunities for them to grow alongside us and make significant contributions to the community.

Don’t forget about our #AICodingWorkshop happening tomorrow at PHX Ventures (51 W 3rd St STE 105, Tempe) at 5 PM! We're teaming up with Global Career Network to empower Arizona’s tech community by offering a hands-on session designed to help developers kickstart their journey into AI. What to Expect: 🧠 Master BERT for Bias Detection: Dive deep into training BERT models to detect biases in text—a crucial skill in today’s AI landscape. This semi-technical workshop provides a practical coding experience and offers a sneak peek into the NLP techniques we'll explore in our upcoming research paper, GUS-Net (Sept. 2024). 💻 Hands-On Learning: We’ll guide you through the entire training process using a comprehensive notebook, supported by detailed explanations in a related article. Join us for this unique opportunity to learn, innovate, and contribute to Arizona's growing tech ecosystem. See you there! Sing up here - https://lnkd.in/gxmVmkg8

Palmier (YC S24) is an AI tool that understands any codebase. Developers spend only about 30% of their time actually building new features, with the rest of their day taken up by tedious but necessary tasks like understanding code, fixing bugs, and reviewing other people's code. And this only gets worse as the codebases and teams get larger, context switches get more frequent, and general productivity starts to decline. Palmier tackles this by having a uniquely trained AI model for every individual codebase, providing an accurate and precise understanding of the code. Palmier reviews code changes and helps catch potential bugs and security vulnerabilities, correct styling and formatting issues, suggest and implement optimizations, and write PR descriptions, (particularly helpful for non-native speakers). Users can query Palmier chat to quickly understand complex repositories and onboard 10x faster. Founders Marcos Rico Peng and Harrison Tin, having worked at LinkedIn and Microsoft, recognized the challenges of navigating and onboarding to large, complex codebases and the slow, tedious process of code review. They first met as project partners in a computer science project at UC Berkeley and have remained close ever since, passionate about improving developer's lives. Congrats to the team on the launch! 🚀 https://lnkd.in/gfUqrEJW

Join Us for an AI Coding Workshop Next Wednesday! We are excited to collaborate with the Global Career Network to host an AI Coding Workshop next Wednesday. We look forward to seeing more developers at this event, eager to learn and expand their skills. 🧠 Workshop Focus: Learn how to train BERT models for bias detection in text. This semi-technical workshop will provide a sneak peek into the NLP concepts we’re applying in our upcoming research paper, GUS-Net (set to be published in September 2024). Venue: Arbor Tempe Signup now: https://lnkd.in/gxmVmkg8 Additional Notes: This workshop is an excellent opportunity to prepare for our upcoming Social Bias Hackathon. If you haven't heard about it yet, be sure to check it out! Don’t forget to join our website to earn a badge for attending this workshop.

Don’t miss out the chance to join the Phoenix tech movement with us! We are hosting a hackathon during the summit: Apply Here: https://lnkd.in/gjgJhvj9 Science Fair: https://lnkd.in/gWc42E9Q 📅 Date: September 27-29, 2024 (Friday - Sunday) ⏰ Time: Friday, 7:00 p.m. 🔬 Science Fair: Sunday, 7:00 p.m. 📍 Location: Galvanize Coworking - Phoenix