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How can anyone trust any other complex system? Even something as seemingly trivial as a bridge. Picture driving on an unfamiliar road when suddenly there's a br
by GrantZvolsky 5y ago
How can anyone trust any other complex system? Even something as seemingly trivial as a bridge. Picture driving on an unfamiliar road when suddenly there's a bridge ahead. How can anyone in that situation trust that bridge? Without knowing how it was built, whether it is in a state of disrepair, or whether the two sides of the bridge connect without a precipice inbetween[1]. The answer is that we don't need to completely trust a system as long as our experience suggests reasonable safety. Once unassisted Tesla proves to be safer than human drivers, we still won't trust it, but that won't prevent us from using it.
[1]: Not relevant to the above comment, but I once encountered such a bridge. It was while driving in the dark, at about 1am and with no traffic, when the navigation in my, iirc, Android 2.1 phone, suggested I cross an unfinished bridge. The only warning sign ahead of the precipice were a couple of traffic cones. The road was familiar, though, and I drove very carefully, curious about the new bridge.
- Invictus0 5y agoWe trust the government regulators to set standards for bridges, we trust civil engineers to build them properly, we know that bridge building has a long history and established body of knowledge, and we know that bridges rarely fall down. Yes, obviously we do not have all the information to verify the integrity of the bridge in that moment, but we can at least trust that an appropriately trained person somewhere on Earth can fully understand the system and can analyze it to verify its integrity. That's not the case with ML--no one understands it, no one can verify it.