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UID:11cbf2bd-21cb-46b6-b567-e90312c35408@nexttoyou
DTSTAMP:20261105T152835Z
DTSTART:20261105T150000Z
DTEND:20261105T160000Z
SUMMARY:Data Transparency and Privacy in Generative AI Tools
DESCRIPTION:Are you interested in using generative AI tools but are concer
 ned about lack of data transparency and/or privacy? In this class\, we wi
 ll talk about different options for generative AI tools and how your choi
 ce of tool affects your privacy and the transparency of how said tool wil
 l use your data. You'll learn to navigate privacy policies\, compare data
  practices\, and evaluate user control options. At the end of the class\,
  you'll be equipped to make informed decisions about which AI tools align
  with your privacy and transparency values.\n\nUpon completing this class
 \, you should be able to:\n\nDefine Large Language Models (LLMs) in your 
 own words\, drawing connections to artificial intelligence and language p
 rocessing.Identify potential benefits and drawbacks of LLMs.Explain the c
 oncept of data privacy in the context of LLMs\, considering data ownershi
 p and usage.Define data transparency and its significance for informed us
 er decisions regarding LLMs.Locate and access the privacy policies of GPT
 4All and ChatGPT and identify specific sections within the privacy polici
 es that address data privacy and data transparency practices.Extract key 
 information from the privacy policies regarding data collection\, usage\,
  and user control mechanisms used by GPT4All and ChatGPT.Compare and cont
 rast GPT4All and ChatGPT in terms of data collection practices\, user con
 trol options\, data privacy\, and transparency measures.Critically evalua
 te the responsible development and use of LLMs in the future\, consi\n\nh
 ttp://next-to-u.app/events/11cbf2bd-21cb-46b6-b567-e90312c35408
URL:http://next-to-u.app/events/11cbf2bd-21cb-46b6-b567-e90312c35408
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