Artificial intelligence social influence model and migration paths: Implications to institutions, governments, and businesses
Who is this presentation for?
- AI experts, practitioners, government employees, executives, managers, business leaders, faculty members, and civic leaders
Loretta Cheeks provides a social influence model for exploring double subjectivity and cues for learning migration paths using news frames of an issue within online news. Online news is unstructured narrative text that embeds facts, frames, and biases that can influence society about critical issues and offers a spate of possibilities for deeper exploration of the cognitive aspects of narrative text. Specifically, Loretta explores water insecurity; the way water policy and decisions are framed affects water-rights allocations, people migration, policy decisions, human consumptions, emerging technologies, farming techniques, and agricultural outcomes.
You’ll learn a methodology that uses advanced machine learning to automate the understanding of implicit structure in context and content for unleashing latent meanings within articles. You’ll explore domains—like health, political elections, and finance—where data, algorithms, and machine intelligence is shaping allocation and representation through policy, tools, and applications.
Loretta provides the language and framework to talk to experts and executives. You’ll gain insights into ways to use machine intelligence for shedding light on complex dynamic real-world issues and understanding the embedded biases that exist in news articles (unstructured text).
What you'll learn
- Gain a contextualization of artificial intelligence for addressing real-world issues
- Learn causal effects of social influence models affecting critical issues
- Explore double subjectivity
- Understand how chaos models integrated with machine learning can be used for collective good
Loretta H. Cheeks is the CEO of Strong TIES, an AI expert, and data science consultant. At the nonprofit Strong TIES, she’s helped organizations gain dynamic data insights serving enterprises, governments, and nonprofits. Loretta is on a mission to create a better world with technology. She is a STEAM advocate, developing, deploying, and leading various teams within the communications, avionics, instrumentation and control, and chemical industries for Fortune 500 corporations. She was the first to identify a computational approach for the discovery of news frames in unstructured text (e.g., online news articles). She’s demonstrated a unique ability to integrate communication theory and computer science methods to inform the fields of machine learning, psychology, and mass communication. Loretta is also committed to improving higher education for underserved and underrepresented communities to follow in her scientific footsteps. She’s listed among “10 Incredible Black Women In STEM,” featured by Verizon on the International Day of Women and Girls in Science, recognized as a Change Maker at the White House, and is a member of the NASA Datanauts. She regularly appears among thought leaders in conferences, peer-review publications, workshops, and speaking engagements in the world. Loretta earned a bachelor’s and master’s of science degree in computer science from Southern University, a master’s in technology management from the University of Phoenix, and a PhD in computer science from Arizona State University. She was born in Baton Rouge, Louisiana.
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