Human and Machine Intelligence: Moving From Algorithmic Biases to Better Decisions

The human mind is evolutionarily designed to take shortcuts to survive. We jump to conclusions because our brains want to keep us safe. While most of our biases work in our favor, inherent bias negatively affects decision-making. The creation of algorithms and machine learning attempts to eliminate bias, but given that they are developed by humans, they are susceptible to algorithmic bias.

In this course, we will discuss types of cognitive traps that typically influence decision-making. We define natural bias, examine how it influences algorithmic bias and explore means by which bias can be minimized or even eliminated. You will learn managerial techniques to develop unbiased algorithms, foster the ability to detect bias more quickly and gain knowledge to create unbiased data.

Topics Covered:

• Bias in Human Decision-Making
• AI in a Nutshell
• How Real-World Biases are Mirrored by Algorithms
• How to Detect Algorithmic Biases
• Managerial Strategies for Correcting Algorithmic Bias
• The Business Analyst’s Role in Overcoming Algorithmic Bias