{'fraction_non_alphanumeric': 0.017130620985010708, 'fraction_numerical': 0.0, 'mean_word_length': 4.5, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Humans in the Loop: Learning to Trust in AI but to What Extent?

Spontaneity makes life worth living. If we had all the answers to every question and could accurately predict the result of our actions and choices before embarking on a particular path into the future, human life would be substantially different—some might even say boring. The fact that we must strive through things ourselves, make mistakes, and learn from them, provides a certain level of freedom that none of us should take for granted. It was not that long ago that we would get into a car with a street directory on our laps, excited to explore a new route for the first time, instead of just delegating our route selection to the shortest path algorithm and relying on it to get us to our destination. While we are all grateful for the ease with which we can now navigate the world, there is an opportunity cost generated by an augmentation–automation paradox.