Dawn Song

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Dawn Song
Professor UC Berkeley | OpenAI
48 YEARS OLD
Dawn Song is a renowned entrepreneur and computer science professor at UC Berkeley, known for her pioneering work in security, cryptography, deep learning, and privacy. She has co-founded Oasis Labs and serves as its CEO while also holding positions at several other research institutions, including the Center for Human-Compatible Artificial Intelligence, the Berkeley DeepDrive, and the Berkeley Artificial Intelligence Research Lab.

Song obtained her B.S. degree from Tsinghua University, her M.S. from Carnegie Mellon University, and her Ph.D. from UC Berkeley, where she has taught for 15 years. She has researched and developed numerous security and privacy technologies, from networking and software to intelligent contracts and distributed systems. She has received numerous awards and recognitions for her work.

In 2021, Song’s Oasis Labs made several significant announcements, including integrating Tidal Finance with the Oasis Network, launching a $160 million development ecosystem fund, and partnering with MetaAI on an AI application focused on secure computing technologies. Song also hosted an inaugural mentorship event for female blockchain leaders and launched the “Future of DeFi Fireside Chats” podcast.

In 2022, Binance Labs announced its support of Song’s Oasis Ecosystem Fund, which has grown from $160 million to $200 million and focuses on projects in Web3, DeFi, and cross-chain capabilities. The first DEX on Oasis Network, YuzuSwap, also hit $100 million TVL in just 24 hours of operating. Song continued to publish episodes of “Fireside Chats” and is expected to remain active as a public speaker and advocate for mainstream adoption of the Oasis ecosystem.
Fun Facts
Dawn Song is a self-described serial entrepreneur.
Notable Awards
ACM Fellow – 2020
Summary of recent tweets
Dawn Song, an AI researcher, has been actively sharing her thoughts and insights on Twitter lately. In her recent tweets, she discusses various topics related to artificial intelligence and its implications. One trend that Dawn Song highlights in her tweets is the importance of privacy and security in the context of AI. She emphasizes the need for robust mechanisms to protect sensitive data from being compromised or misused by AI systems. Additionally, she raises concerns about potential adversarial attacks on machine learning models and advocates for developing defenses against such threats. Another topic Dawn Song addresses is the intersection of AI with healthcare. She shares updates about advancements in using AI for medical diagnosis, personalized treatment plans, and drug discovery. These tweets reflect her excitement about the potential of AI to revolutionize healthcare and improve patient outcomes. Dawn Song also touches upon the ethical considerations surrounding AI development and deployment. She expresses a strong belief in responsible AI practices that prioritize fairness, transparency, and accountability. Her tweets emphasize the need for interdisciplinary collaborations involving experts from diverse backgrounds to address these ethical challenges effectively. In terms of sentiment analysis, Dawn Song's recent tweets lean towards a positive outlook on the future of AI. While she acknowledges potential risks and challenges associated with this technology, her overall tone suggests optimism about leveraging AI for societal benefits. Her focus on privacy protection, healthcare applications, and ethical frameworks indicates a proactive approach towards shaping a positive trajectory for AI advancement. Based on these recent tweets analyzed above, it is evident that Dawn Song remains an active voice in the field of artificial intelligence research. Despite not explicitly mentioning any new trends in AI within this specific set of tweets provided, her discussions encompass several significant themes currently circulating within the community – including privacy/security concerns, healthcare applications, ethics-driven development – which collectively contribute to shaping ongoing trends within the field as a whole. Note: The response assumes that there are no explicit mentions of new trends in the provided set of tweets by Dawn Song

SOME AI BOOK RECOMMENDATIONS

Dawn Song hasn't written a book yet or we didn't find any ISBN number for their book(s). However, here are some popular books in AI:

Videos Featuring Professor Dawn Song
Data Sovereignty and Decentralized Data Science in Web3 with Dawn Song

Data Sovereignty and Decentralized Data Science in Web3 with Dawn Song

Dawn Song on AI, Deep Learning and Security

Dawn Song on AI, Deep Learning and Security

AI and the Responsible Data Economy with Dawn Song - #403

AI and the Responsible Data Economy with Dawn Song - #403

ORDEN OGAN - In The Dawn Of The AI (2020) // Official Music Video // AFM Records

ORDEN OGAN - In The Dawn Of The AI (2020) // Official Music Video // AFM Records

Humans are the weak link in computer security (Dawn Song) | AI Podcast Clips

Humans are the weak link in computer security (Dawn Song) | AI Podcast Clips

Dawn Song: Adversarial Machine Learning and Computer Security | Lex Fridman Podcast #95

Dawn Song: Adversarial Machine Learning and Computer Security | Lex Fridman Podcast #95

Dawn Song - AI and Security: Lessons and Future Directions

Dawn Song - AI and Security: Lessons and Future Directions

deeplearning.ai's Heroes of Deep Learning: Dawn Song

deeplearning.ai's Heroes of Deep Learning: Dawn Song

AI and Security: Lessons, Challenges, and Future Directions - Dawn Song (UC Berkeley)

AI and Security: Lessons, Challenges, and Future Directions - Dawn Song (UC Berkeley)

The Future of AI and Security (Dawn Song)

The Future of AI and Security (Dawn Song)

Twitter Timeline of Professor Dawn Song