A common denominator behind failed ML projects is the anthropomorphism of technology. This Advisor explores how, through our tendency toward anthropomorphism, we fail to make a critical distinction in the way humans and machines interpret the world.
Advisor
Anthropomorphizing Technology Leads to Failed ML Projects
Posted July 20, 2021 | Technology |
About The Author
Michael Papadopoulos is a Cutter Expert, Chief Architect of Arthur D. Little’s (ADL's) UK Digital Problem Solving practice, and a member of ADL's AMP open consulting network. He is passionate about designing the right solutions using smart-stitching approaches, even when elegance and architectural purity are overshadowed by practicality. Mr. Papadopoulos leads the scaling of multidisciplinary organizations by focusing on continuous improvement,… Read More
Philippe Monnot is a Data Scientist with Arthur D. Little's (ADL's) UK Digital Problem Solving practice, and a member of ADL's AMP open consulting network. He’s passionate about solving complex challenges that impact people’s livelihood through the use of data, statistics, and machine learning (ML). Mr. Monnot enjoys developing accessible solutions that customers will adopt through effective data storytelling and explainable artificial… Read More
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