Explore the application of design thinking principles to AI product development in this 52-minute conference talk from Conf42 ML 2024. Delve into the evolution of AI, its current capabilities, and future trajectory while examining key challenges in scaling, adoption, and trust. Learn why traditional design thinking approaches may fall short for AI applications and discover a modified framework tailored for AI product creation. Gain insights into empathizing with users, defining problems, ideating solutions, prototyping, and testing in the context of AI development. Understand fundamental AI considerations beyond design stages and leave equipped with practical strategies to enhance your AI product design process.
Overview
Syllabus
intro
preamble
about me
today's talk
the promise of ai
from then to now...
buzz-worthy developments
where is current state ai really good at?
where are we heading
most prominent areas of challenges in ai
most prominent challenges in scaling and adoption of ai
most prominent challenges in trusting ai
why do most present ai products suffer from these common issues?
this is where design thinking can help!
what is design thinking?
it't not new or novel
the definition
when to use it?
school of thoughts
goals
what it is not?
traditional v/s emerging for ai
why can we not use traditional design thinking as it is for ai applications?
mode 1 : empathize
mode 2 : define
mode 3 : ideate
mode 4 : prototype
mode 5 : test
ai considerations for each of the modes
fundamental ai considerations beyond design stages
start wherever you are...
thank you!
Taught by
Conf42
