Expert systems have been in place for at least a decade, yet this hasn't been leveraged in service to interdisciplinary science. What patterns are being overlooked because we haven't crunched enough data from multiple fields?
Expert systems have been in place for at least a decade, yet this hasn't been leveraged in service to interdisciplinary science. What patterns are being overlooked because we haven't crunched enough data from multiple fields?
Expert systems have been in place for at least a decade, yet this hasn't been leveraged in service to interdisciplinary science. What patterns are being overlooked because we haven't crunched enough data from multiple fields?
A year ago meta set up an AI to check science papers had a funny result which made it get shut down.
It would have conflicting answers because some papers contradicted others.
When asked "do vaccines cause autism", the AI said they don't cause autism but they do cause autism. Lol! 😂
Perhaps the issue is that research is highly influenced by funding which involves profit and/or political motives.
I wonder what AI would make of the existence of viruses. Circular reasoning alert!