Being Picky with Piki: Ironing out the Biases in Song Quality Algorithms
Technically Biased por Krystyn Gutu
Notas del episodio
Listen to Krystyn Gutu, M.S. introduce Sasha Stoikov, a senior research associate at Cornell Financial Engineering in Manhattan (CFEM). His research studies algorithms in high-frequency financial trading, online ratings systems, and recommendation systems. In these various domains, he has come across algorithmic biases such as survivorship bias, popularity bias, and inflation bias.
He is also the founder of Piki, a startup that gamifies music ratings. Ratings produced by users on Piki can mitigate algorithmic biases, which he discusses in a re ...
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algorithmic biaspredatory techtechnically biased podcastgakoviitechnically biasedmachine learningartificial intelligence