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Cryptocurrency News Articles
Demystifying AI’s Black Box: Ariana Spring and Andrew Stanco on How Blockchain Tech Can Shine a Light on Hidden Inputs
May 23, 2024 at 09:32 pm
AI is taking over our lives but exactly what goes on inside AI systems is unclear. Two researchers from EQTY Lab shine a light on how to make these mechanics more visible.
AI is rapidly transforming our world, but the inner workings of these systems often remain shrouded in mystery. Two researchers from EQTY Lab are shedding light on how blockchain technology can help visualize the hidden inputs that govern AI's decision-making processes.
Ariana Spring, Head of Research at EQTY Lab, and Andrew Stanco, Head of Finance at the organization, recently joined CoinDesk's Consensus Converge podcast to discuss their work. Here's a sneak peek into their conversation:
Highlighting the collaborative nature of AI, Andrew explained how cryptography serves as a tool for creating tamper-proof attestations throughout the AI training process. These attestations help establish trust and visibility by providing a clear record of each step.
Ariana further elaborated on how their technology registers each action in the AI life cycle with a decentralized ID, timestamp, and cryptographic stamp. Their Lineage Explorer then provides a real-time visualization of these processes.
Moreover, they utilize smart contracts in their governance products, allowing certain actions to proceed or be halted based on whether specific parameters are met. One of their tools, Governance Studio, enables users to program how AIs are trained and managed, which is then reflected throughout the downstream processes.
When asked about the role of EQTY Labs in this ecosystem, Andrew clarified that their focus on the enterprise stems from recognizing that large organizations will be among the first to require assistance in training and governing AIs correctly.
Their work entails providing developers with the ability to annotate the code, indicating what happened at each stage, and creating a record of those actions.
While EQTY Labs primarily concentrates on enterprise solutions, they've also engaged in other aspects of the AI landscape. For instance, they've helped train a climate-specific large language model called ClimateGPT through the Endowment for Climate Intelligence.
This experience provided them with firsthand insights into the AI training process, which they utilized to visualize the steps involved in training ClimateGPT.
Andrew expressed excitement over the initial interactions with generative AI, describing it as "uncorking the lightning in the model." He highlighted the powerful capabilities of these tools, which become evident immediately upon creating a prompt in MidJourney or asking ChatGPT a question.
However, he also voiced concerns regarding the potential for existing dominant forces to use these technologies to entrench their positions further.
Ariana echoed these concerns, emphasizing the dangers of centralization and lack of transparency in AI systems. She highlighted the harms witnessed with social media over the past 10-15 years, which could be exacerbated by these powerful technologies.
On the positive side, Ariana expressed enthusiasm for engaging diverse stakeholders in AI development, citing their work with various groups during the ClimateGPT training. She highlighted how people became excited and eager to contribute once they understood the inner workings of AI and how they could help.
Ariana's excitement stems from the potential to create more inclusive and representative AI models by involving a broader range of perspectives and experiences in their development.
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