Title

Tesla Autopilot: AI Advancements Overshadowed by User Error

Poster Number

10A

Lead Author Affiliation

MSBA

Lead Author Status

Masters Student

Introduction

Tesla has been collecting data, writing hundreds of thousands of lines of code, and responding to critics of AI to be at the top of technological advances. With the introduction of autopilot, users have been under the impression that Tesla vehicles are able to drive on their own, when it is clearly written and stated that driver supervision is always needed. The available data will show the actual cases where the AI failed or if the accident was caused due to driver delinquency. These results will then be compared to the view of Twitter tweets, indicating that the skepticism users feel of Tesla’s autopilot are not supported by the data. RapidMiner, a science software platform, will be used to obtain tweets regarding Tesla’s autopilot and data analysis techniques will be used to identify the related variables in Tesla crashes.

Location

William Knox Holt Memorial Library and Learning Center, University of the Pacific, 3601 Pacific Ave., Stockton, CA 95211

Format

Poster Presentation

Poster Session

Morning

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Apr 30th, 10:00 AM Apr 30th, 12:00 PM

Tesla Autopilot: AI Advancements Overshadowed by User Error

William Knox Holt Memorial Library and Learning Center, University of the Pacific, 3601 Pacific Ave., Stockton, CA 95211

Tesla has been collecting data, writing hundreds of thousands of lines of code, and responding to critics of AI to be at the top of technological advances. With the introduction of autopilot, users have been under the impression that Tesla vehicles are able to drive on their own, when it is clearly written and stated that driver supervision is always needed. The available data will show the actual cases where the AI failed or if the accident was caused due to driver delinquency. These results will then be compared to the view of Twitter tweets, indicating that the skepticism users feel of Tesla’s autopilot are not supported by the data. RapidMiner, a science software platform, will be used to obtain tweets regarding Tesla’s autopilot and data analysis techniques will be used to identify the related variables in Tesla crashes.