Sneha Revanur, the driving force behind Encode Justice

Beyond her leadership role at Encode Justice, a worldwide community committed to promoting justice amid advancing technology,artificial intelligence Sneha Revanur is a dedicated junior at Evergreen Valley High School located in San Jose, California.

With a diverse coalition of students spanning more than 20 countries and 30 states in the U.S., Sneha is at the forefront of a collective effort to advocate for a fairer tech future. The initiatives led by Encode Justice range from policy advocacy to educational outreach, all rooted in local activism, and have already created significant impact.

Encode Justice’s initial campaign successfully defeated California Proposition 25, which aimed to implement racially biased risk assessment algorithms. Additionally, the organization is actively challenging the government’s deployment of facial recognition technology, which has disproportionately misidentified people of color and contributed to wrongful detentions of Black individuals. Sneha has played a pivotal role in running an AI ethics workshop program that has reached over 3,000 high school students, many of whom belong to marginalized communities. She also advocated for a surveillance ordinance in San Jose, aided in the enactment of a facial recognition ban in Minneapolis, and trained youth lobbyists from Encode Justice, who have engaged with more than 50 lawmakers at local, state, and federal levels.

2023

Revanur was instrumental in drafting the Youth Open Letter on AI Risks, where Encode Justice collaborated with nine other youth-led organizations to call for concrete regulatory measures and highlight the importance of youth participation in AI policymaking. The letter also underscores the growing concerns—what Revanur describes as 'increasing tension'—between the dangers of AI today and in the future. In the wake of this advocacy, Politico recognized Revanur's efforts by dubbing her 'the Greta Thunberg of AI.'

Revanur highlighted the crucial role of young voices in bothAI regulation and policy development. 'Congress is dominated by older individuals who are often quite disconnected from technology and didn't grow up surrounded by it,' she pointed out. She cited various examples of older legislators showing a lack of understanding about social media and artificial intelligence (AI), referencing the unusual inquiries directed at Mark Zuckerberg during a congressional hearing. 'It’s vital for younger voices to challenge the leadership on the issues that genuinely matter to us; otherwise, we risk being overlooked entirely,' Revanur articulated. 'If we remain silent, the leadership will continue to dismiss these critical challenges.'

Latest news about Sneha Revanur

• TIME has unveiled its first-ever TIME100 AI list, showcasing the top 100 influential figures in the realm of artificial intelligence. This inaugural list comprises 28 notable individuals, including Sam Altman, CEO of OpenAI, Dario and Daniela Amodei, co-founders of Anthropic, and Demis Hassabis, CEO of Google DeepMind. The selections are categorized into four segments: leaders, thinkers, shapers, and innovators. Over 40% of those recognized are women or nonbinary individuals. The list also highlights significant policymakers, scientists, and officials engaged in AI ethics, bias, and safety.
• In digital image processing, diffusion models are gradually taking the lead over GANs and autoregressive models as they are easier to learn, require fewer hyperparameters, and demonstrate better stability during training. Sber AI has introduced Kandinsky 2.0, the pioneering multilingual text-to-image diffusion model capable of generating outputs in over 100 languages. This innovative model leverages an advanced Latent Diffusion technique, featuring two multilingual text encoders and a staggering 1.2 billion parameter UNet. It has demonstrated outstanding performance across various generative tasks, including text-to-image and sound generation, as well as video and 3D outputs.

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