Tetris uncovers thoughts on unfair AI

Published on May 15, 2023

In a game of Tetris with unequal turns, participants judged the other player’s likability based on how many turns they themselves received, not on whether a person or computer dictated the distribution. This finding suggests that our perception of fairness can influence our opinion of others. It’s as if we’re playing a party game where one person continuously gets to win, while the rest of us are left spinning and wondering what we did wrong! These results highlight the potential impact of unfairness in human-computer interactions and how it can shape our social judgments. By studying such phenomena, scientists can develop strategies to address the biases that emerge from these interactions and create more equitable algorithms. So let’s dig deeper into this research and uncover the fascinating ways in which human psychology intersects with the world of artificial intelligence.

An experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceived the other player as less likable, regardless of whether a person or an algorithm allocated the turns.

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