IT is only about 3 things with data: 1) Communication 2) Transformation 3) Application 1 being the ray of light/information. 2 being your "mirror". 3 being the

IT is only about 3 things with data: 1) Communication 2) Transformation 3) Application 1 being the ray of light/information. 2 being your "mirror". 3 being the usage. But these processes are general enough to fit any process in the universe (aka "simulate the universe"). Potential of IT may be regarded that powerful. Saying models are only about being a mirror may be too easily misinterpreted. This since application require accountability for 1, 2 and 3, not just one of them. Complex and powerful solutions aren't easily divided into clean responsibility areas. If one chooses models that favours some groups, such usage may introduce bias and discrimination in an otherwise non-discriminatory and non-racist society. What matters is the final outcomes, even when well-intentioned. As usage of complex algorithms may introduce chaotic side-effects, solutions to such issues may become dauntingly complex and hard to grapple with. Complex and powerful solutions become embedded in the world and culture of humans. Even the knowledge of usage of black box models may change people's perceptions for the worse, and introduce unwanted side-effects. Poor or lack of explanations for decision-making by the black box may compound issues even further. Misuse may introduce events that alters perception forever, etc. You may retroactively attempt to correct wrongs, but it's a hard sell you've made no further mistakes however unintentional. I have doubts people make such mistakes intentionally, though that's not impossible either.