unit 1b psychology and Al

prompt engineering

the skill of wording and structuring input to shape al output (telling al to keep changing picture till i like it)

LLM-large language model

base al software platform/got tons of data.(Claude, chat gpt, Gemini)

Generative al

a type of al that can generate new content, such as text, images, or code( telling ai to type me an essay about plants and gives me a text)

training

the process of feeding a model a data set to learn from(training a self driving car all possible situation to know what to do)

reinforcement learning

a type pf ML where an agent learns to make decision by receiving rewards or penalties for its actions (reinforcing chat gpt to never tell me something again)

cultural bias in al

al reflecting or amplifying humans biases from training data.( image of ceo and white man appears)

hallucination in al

when ai generates false or misleading information with confidence(asking what ceo of lego and it gives me wrong name)

affective computing

al detecting and responding to human emotions

anthropomorphism of al

attributing human traits or feeling to ai(professor called chat got her and beatrice)

human in the loop

keeping humans involved in ai decision making(professor asked chat got to give him questions to ask doctor to see if he is going to ask them)

cognitive offloading

using ai to remember, decide, or solve problems( google maps to remember where to go)

personalization algorithms

ai tailoring content to user behavior(going on TikTok and liking videos about hiking now all hiking videos)

the turing test

a conversational test of whether ai appears intelligent

uncanny valley effect

discomfort from ai that looks almost human but not quite( cant tell if image is ai or human)

automation bias

over reliance on automated systems without critical thinking(relying on phones to catch spelling mistakes)

algorithmic transparency vs black box problem

not knowing how ai decisions are made

parasocial relationships with ai

one sided emotional connection to ai agents

confirmation bias in ai interactions

accepting ai output that fits prior beliefs (asking biased questions ai give biased answer and agree)

social identify and ai

impact of ai use on self concept and group membership