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DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15799\nNOTE: This Seminar 
 continues to Friday.\n\nAI is everywhere. It’s not only stand-alone s
 ystems like ChatGPT. It’s also being woven into our digital infrastru
 cture and enterprise tools. AI is likely being proposed as the next big str
 ategic investment for your organization. While AI holds much promise, it al
 so comes with many risks. There are concerns about data privacy, security a
 nd a host of ethical issues ranging from algorithmic bias to the automation
  of jobs. If you don’t have a plan for the responsible implementation
  of AI, you are inviting problems that could include reputational damage, l
 oss of customer trust, financial impacts, and legal repercussions.\n\nHow c
 an your organization lay the foundation to safely, successfully, and respon
 sibly operationalize AI?\n\nIn this seminar, Katrina Ingram will share a fr
 amework she developed that offers a step by step pathway to responsible AI 
 built around 4 C’s - context, culture, content and commitment.\n\n
 Context refers to the internal and external factors that will impact your R
 esponsible AI program, from regulation to business practices to your organi
 zational vision, mission, and values.\n
 Culture is about people and governance structures needed for Responsible AI
 , including diverse, stakeholder engagement.\n
 Content focus on AI systems and getting specific about assessing risks rela
 ted to the development and deployment of the technology.\n
 Commitment acknowledges that this work is ongoing. AI systems require const
 ant monitoring and oversight which entails building organizational capacity
  to do this work over the long term.\n\nThis session weaves theory with pra
 ctical guidance, explores real-world examples, and offers ample opportuniti
 es for participation. You’ll "learn by doing" through case 
 studies, games, and interactive exercises.\n\n
 Learn why values should set the stage for AI in your organization and a pro
 cess for making ethical choices\n
 Understand the organizational structures needed for successful AI governanc
 e\n
 Find out why stakeholder engagement and diverse perspectives are core to Re
 sponsible AI\n
 Prepare to address common AI ethics issues such as privacy, fairness, trans
 parency, explainability, and accountability\n
 Explore the data lifecycle through a data ethics lens and examine how AI ch
 allenges traditional data practices\n
 Practice navigating AI ethics dilemmas\n\n
DTSTART:20241212T083000
SUMMARY:S3: Implementing Responsible AI with the 4C’s Framework
DTEND:20241212T155959
LOCATION: See Description
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