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VERSION:2.0
CALSCALE:GREGORIAN
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UID:b49c294026dd7ea9ff864f8e024f1eda
DTSTAMP:20250408T215642Z
SUMMARY:Human and Machine Intelligence: Moving From Algorithmic Biases to B
 etter Decisions
DESCRIPTION: \n\nThe human mind is evolutionarily designed to take shortcut
 s to\nsurvive. We jump to conclusions because our brains want to keep us\n
 safe. While most of our biases work in our favor\, inherent bias\nnegative
 ly affects decision-making. The creation of algorithms and\nmachine learni
 ng attempts to eliminate bias\, but given that they are\ndeveloped by huma
 ns\, they are susceptible to algorithmic bias.\n\nIn this course\, we will
  discuss types of cognitive traps that\ntypically influence decision-makin
 g. We define natural bias\, examine\nhow it influences algorithmic bias an
 d explore means by which bias can\nbe minimized or even eliminated. You wi
 ll learn managerial techniques\nto develop unbiased algorithms\, foster th
 e ability to detect bias more\nquickly and gain knowledge to create unbias
 ed data.\n\nTOPICS COVERED:\n\n * Bias in Human Decision-Making\n * AI in 
 a Nutshell\n * How Real-World Biases are Mirrored by Algorithms\n * How to
  Detect Algorithmic Biases\n * Managerial Strategies for Correcting Algori
 thmic Bias\n * The Business Analyst’s Role in Overcoming Algorithmic Bia
 s\n\n 
DTSTART:20220730T120000Z
DTEND:20220730T210000Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, Philadelphia\, PA 19104
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