Sean Ren, Affiliate Professor in Pc Science at USC – Interview Sequence

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Sean Ren is is an Affiliate Professor of Pc Science and the Andrew and Erna Viterbi Early Profession Chair on the College of Southern California (USC). He leads the Intelligence and Information Discovery (INK) Analysis Lab and holds roles in USC’s Data Sciences Institute (ISI), the USC NLP Group, and the USC Machine Studying Heart.

His analysis focuses on creating generalizable pure language processing (NLP) methods, enhancing AI with widespread sense, and bettering mannequin transparency. Along with his work at USC, Ren contributes to the Allen Institute for AI (AI2) and has beforehand suggested Snapchat. He earned his PhD in laptop science from the College of Illinois at Urbana-Champaign.

Sean can also be the CEO & C0-Founding father of Sahara AI, a decentralized AI blockchain platform that goals to disrupt the centralized AI panorama by constructing a collaborative AI economic system.

What impressed you to co-found Sahara AI, and the way does the corporate’s decentralized platform handle the moral issues surrounding AI possession?

Sahara Labs was based in April 2023. Synthetic Intelligence is remodeling our world at an unprecedented tempo. From customized suggestions and digital assistants to superior healthcare diagnostics, monetary forecasting, and industrial automation, AI’s affect is pervasive and rising. Nonetheless, this swift development raises vital issues about management, equity, and accessibility. As AI turns into extra highly effective, questions come up about who controls these methods and the way they’re used. Main tech firms dominate the AI panorama, usually amassing huge quantities of public knowledge contributed to people with out enough compensation or transparency. Customers continuously work together with AI-driven providers with out figuring out how their knowledge is getting used or the windfall of the data that contributed to the AI’s outputs. This centralization of energy and lack of transparency can result in biased algorithms, privateness violations, and unequal entry to AI’s advantages. As an skilled AI researcher and practitioner, our group noticed this problem throughout the present AI panorama and we began brainstorming options in Q2 2022 (pre-GPT period) as one of many earliest. Finally, we determined to land our foot on our present imaginative and prescient and mission.

At Sahara AI, we envision a unique method – one the place AI is open, equitable, and helpful to everybody throughout all levels of the AI growth cycle. Our decentralized AI blockchain platform permits everybody – from particular person builders to massive enterprises – to take part in and profit from AI developments. This ensures that each one contributors are pretty compensated, sovereignty of knowledge and fashions are maintained, and AI property may be securely created, shared, and traded, all whereas preserving privateness and selling inclusivity.

As an Affiliate Professor at USC, how does your tutorial background affect your method to AI possession and governance at Sahara Labs?

My tutorial analysis facilities on constructing generalizable pure language processing (NLP) methods able to dealing with all kinds of language duties and conditions. This entails creating new algorithms and datasets to make NLP fashions more cost effective to construct and preserve, arming AI fashions with commonsense reasoning, and bettering their transparency and reliability to construct consumer belief. These ideas have instantly influenced my method to AI possession and governance at Sahara Labs. At Sahara AI, we prioritize making AI extra accessible, clear, and reliable—values that stem from my tutorial work.

How do you see equitable compensation fashions evolving as AI continues to reshape industries, and the way does Sahara AI empower contributors to the AI worth chain?

Equitable compensation is central to our imaginative and prescient. As AI reshapes industries, it’s important that contributors in any respect ranges—whether or not they’re offering knowledge, constructing fashions, or providing computational assets—are pretty compensated. Our platform fosters a collaborative AI economic system the place contributors are rewarded in proportion to the worth they create. Utilizing blockchain, we make sure that compensation is clear and traceable, making it clear who contributed what, and the way they’re compensated. This mannequin empowers contributors to the AI worth chain by giving them management over their property and guaranteeing honest payouts.

Our decentralized market permits for direct peer-to-peer transactions, slicing out intermediaries and making a extra inclusive, accessible economic system. As AI continues to evolve, we see a shift towards this type of decentralized, equitable mannequin the place contributors of all sizes can thrive.

Sahara AI emphasizes “AI sovereignty.” Might you elaborate on what this implies and the way it will influence customers, builders, and companies within the AI ecosystem?

AI sovereignty is a foundational precept of our platform. It implies that everybody—be it end-users, builders, and companies—preserve full possession and management over their AI property. In right this moment’s centralized AI methods, possession is usually transferred to massive companies, resulting in a lack of management and privateness for the creators. Sahara AI shifts this dynamic through the use of blockchain to provide full sovereignty to those that develop or contribute to varied AI property. AI sovereignty fosters an open, decentralized ecosystem the place people and small groups can compete with bigger entities whereas sustaining management over their mental property. This empowers smaller initiatives to innovate with out worrying about shedding possession or aggressive benefit, whereas builders can monetize their work on their very own phrases.

Your work focuses on transparency and belief in AI. How does Sahara AI combine these values into the event of its blockchain platform?

Blockchain expertise permits us to make sure that each motion on our platform—from the event of AI property to their deployment and monitization—is totally clear and recorded on an immutable ledger. This creates a verifiable document that anybody can audit, guaranteeing that AI property are dealt with ethically and pretty. Belief is constructed as a result of customers not should depend on a government to handle their contributions. As an alternative, the decentralized nature of Sahara AI ensures that no single entity has management, and each participant can see how their work is getting used. This method of transparency fosters accountability and belief throughout the platform, which is important for creating an moral AI ecosystem.

Given your in depth collaborations with firms like Microsoft, Amazon, and Snap, how do you view the function of huge tech companies in shaping the way forward for decentralized AI?

Giant tech companies have been pivotal in advancing AI, however their centralized method limits entry to assets and innovation for smaller gamers. I see decentralized AI as a technique to complement the work of those massive companies whereas selling broader entry and equity. Decentralized platforms give smaller builders and companies the instruments to compete on equal footing, providing a stage of autonomy and possession that isn’t sometimes accessible in centralized methods. Whereas massive companies will proceed to play a major function in AI innovation, decentralized AI platforms like Sahara AI will democratize the ecosystem, guaranteeing that the advantages of AI are extra evenly distributed throughout your complete group.

What challenges do you foresee in sustaining moral AI requirements as AI continues to develop, and the way is Sahara AI positioned to deal with these?

Sustaining moral AI requirements is an ongoing problem, significantly as AI turns into extra pervasive. Points like knowledge privateness, transparency, and honest compensation want fixed oversight. At Sahara AI, we’re positioned to deal with these challenges by our decentralized governance mannequin.

The governance of our platform will probably be pushed by the group, with key selections made transparently by the Sahara DAO (Decentralized Autonomous Group). Customers who’ve made vital contributions to the ecosystem have a say within the platform’s route, proposing and voting on initiatives that align with the group’s values.

The Sahara Basis will play a key function in supporting this governance mannequin, guiding the DAO in its formative levels to make sure that it develops into a completely decentralized, community-driven physique. By embedding this decentralized governance construction into the platform, we make sure that moral requirements are maintained and that contributors are pretty represented in decision-making processes.

Are you able to inform us extra concerning the Prometheus Program and the way it invitations the group to form the way forward for decentralized AI with Sahara AI?

The Prometheus Program is our initiative to ask the group to actively take part in shaping the way forward for decentralized AI. Members, whom we name modern-day Prometheans, get early entry to our instruments and platform, permitting them to instantly affect the event course of by their suggestions. This program is about collaboration—contributors assist us refine and enhance the platform, and, in return, they’re rewarded for his or her enter and efforts. It’s a key a part of our imaginative and prescient for an open, collaborative AI ecosystem the place the group performs a central function in shaping its future.

As a frontrunner in each academia and the AI trade, how do you steadiness your analysis efforts together with your entrepreneurial duties at Sahara AI?

Balancing academia and entrepreneurship requires cautious administration, however the two roles complement one another. My analysis informs a lot of what we do at Sahara AI. In the meantime, the sensible challenges of constructing a decentralized AI platform present new views that improve my analysis. I’m lucky to work with gifted groups in each fields, permitting me to contribute to each areas with out compromising on high quality. This synergy ensures that Sahara AI is grounded in cutting-edge analysis whereas addressing real-world challenges.

What excites you probably the most about the way forward for AI governance, and the way can we make sure that moral AI practices stay a precedence within the coming years?

With decentralized methods like Sahara AI, we are able to create a extra democratic and clear type of governance, the place contributors have direct management over their AI property. This ensures that moral practices are constructed into the system itself. To maintain moral AI practices a precedence, we have to concentrate on transparency, accountability, and inclusivity—guaranteeing that each one stakeholders, no matter dimension, have a voice in shaping the way forward for AI. By empowering the group to control AI growth, we are able to construct a future the place moral AI is the usual, not the exception.

Thanks for the good interview, readers who want to be taught extra ought to go to Sahara AI.

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