Snapshot
Elon Musk’s lawsuit against OpenAI over its alleged diversion from developing AGI ‘for the benefit of humanity’ ignores critical concerns for end-users, such as ethical AI training and data management, which are more pressing issues than merely pushing for open-source solutions.
Why It Matters
The excessive emphasis on profit in the current Generative AI market betrays vested corporate interests and diverts attention from the need for meaningful user consent and compensation in AI training data collection. As major tech companies strike deals to access user data for training their AI models, pushing for open-source alone doesn’t serve users’ interests adequately.
By the Numbers
- 5.3 billion people use the internet globally, with 93% using centralized social media
- 147 billion terabytes of data produced online in 2023, expected to cross 180 billion by 2025
- Over $100 million spent on training a single large language model (LLM)
What’s Next
The emergence of web3 technologies, such as blockchains and privacy-preserving mechanisms like zero-knowledge proofs and multi-party computation, opens new avenues for ethical AI training data sourcing. These developments enable direct connections between data producers (users) and AI projects, allowing for fair compensation and incentive alignment.
The Big Picture
To ensure ethical AI training, a radical shift from top-down systems to grassroots, bottom-up approaches is necessary. This meritocratic order prioritizes ownership, autonomy, and collaboration, benefiting both individual users and businesses alike. Embracing these new-age models is in the industry’s shared interest for long-term success.
What are your thoughts on the importance of user consent and compensation in AI training data collection? Leave a comment below to join the discussion.
