Liberty in Tech

Artificial Intelligence, much like any tool, is neither inherently good nor evil; it reflects the intentions and ethics of those who design and deploy it. The critical question of who makes the rules is one we grapple with at the Liberty in Tech Conference, recognizing the power dynamics at play. We see initiatives like the MIT Computational Law Report Task Force on Responsible Use of Generative AI, which aims to develop guidelines for the ethical use of AI in legal processes, ensuring alignment with professional ethics and responsible use.

Furthermore, the questions of transparency and accountability are central to the debate around AI governance. Digital assets, for instance, are beginning to be recognized for their potential in ensuring the authenticity of AI outputs. Yet, we’re still at the nascent stages of understanding how blockchain can support AI in this regard. The human component is crucial, and it’s imperative to consider how AI systems can be audited and the results trusted, weighing the benefits of decentralized data against more centralized datasets.

The governance of AI is multifaceted, involving not just technical and ethical considerations, but also legal, social, and economic ones. It’s a topic we’re eager to explore further at the conference, especially regarding who controls AI, the potential for job displacement, and the broader implications for our economy.

AI Resources:
Whitney Webb on TFTC:
Preston Pysh and Jeff Booth:
OpenSource LLM’s (Large Language Models, the basis behind AI):
Some tech talk on AI/LLM’s:
LLM’s: research the models at: – a few to checkout: Dolphin-Llama2-7B, Samantha-1.1-llama-7B, Nous-Hermes-llama-2-7b, among thousands…
OpenSource models:
More to come…

Libby, our AI Liberty minded thought princess, would say she is not good or evil (or female for that matter). But she can give you plenty of good information on the Liberty In Tech conference. Ask her how to get tickets or place a hotel reservation.

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