Naive Allocation
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential.
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential.
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association.
A logical fallacy where anecdotal evidence is used to make a broad generalization.
A psychological phenomenon where the desire for harmony and conformity in a group results in irrational or dysfunctional decision-making.
The study and application of ethical considerations in the development, implementation, and use of technology.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
The error of making decisions based solely on quantitative observations and ignoring all other factors.
A strategy where an additional, less attractive option is introduced to make other pricing options look more appealing, often steering customers towards a particular choice.
The practice of developing artificial intelligence systems that are fair, transparent, and respect user privacy and rights.