This dynamic plays out at every level of AI systems: our fundamental beliefs about reality are embedded in the training data (whether we contributed to it or not), encoded into the guardrails (whether we agree with them or not), and present in our every interaction as end users. - ThreadSky

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richtatum.bsky.social • 95 days ago

This dynamic plays out at every level of AI systems: our fundamental beliefs about reality are embedded in the training data (whether we contributed to it or not), encoded into the guardrails (whether we agree with them or not), and present in our every interaction as end users.

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richtatum.bsky.social•95 days ago

These worldviews—which may conflict, overlap, or remain hidden—are inescapably woven into the fabric of AI, whether we’re approaching these tools as atheists, agnostics, or adherents of any faith tradition.

richtatum.bsky.social•95 days ago

→ So, what does faith have to offer when considering the ethical dimensions of AI?

richtatum.bsky.social•95 days ago

Faith traditions provide rich ethical principles—compassion, justice, respect for human dignity—that can guide AI development. By intentionally integrating these values, we can create AI systems that not only reflect diverse worldviews but also aspire to our highest shared ideals.

richtatum.bsky.social•95 days ago

From the curation of training data to the design of alignment systems to our daily interactions—our fundamental beliefs about reality and ethics are inevitably present, whether we acknowledge them or not.

richtatum.bsky.social•95 days ago

This becomes even more critical given the current lack of transparency in AI development. We have no “ingredients list” for these models—no clear view into what worldviews, biases, or ethical frameworks have shaped their training data or alignment systems.

richtatum.bsky.social•95 days ago

Without this transparency, how can we fully understand or responsibly engage with these increasingly influential tools?

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