GENERATIVE ARTIFICIAL INTELLIGENCE: STRATEGIC APPLICATION, EVALUATION, AND CRITIQUE

Name: GENERATIVE ARTIFICIAL INTELLIGENCE: STRATEGIC APPLICATION, EVALUATION, AND CRITIQUE
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LIS 408

과목 설명

Introductory exploration of generative artificial intelligence (AI) from a strategic information studies perspective, such as emphasizing values of privacy, data stewardship, and UX. Topics include societal, legal, policy, and ethical issues related to generative AI, and practicing the ability to evaluate, plan for, and securely work with these digital technologies. Focus on the strategies, skills and self-sufficiency necessary to evaluate, implement, and critique various and evolving AI tools.

선수과목

Junior standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

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평점

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변화 계산 불가

수료율

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변화 계산 불가

A 비율

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변화 계산 불가

학급 규모

미보고

과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

INTRODUCTORY ARTIFICIAL INTELLIGENCE (AI) AND DATA ETHICS

PHILOS 244

Introduction to contemporary moral and political issues in Artificial Intelligence (AI) and Data Ethics, integrating urgent problems, controversies, and continuously updated case studies. Introduces basic technical concepts such as the bias/variance tradeoff, the reference class problem, and inductive risk. Covers topics such as data and privacy, the impacts of automation on society, and the use of algorithms in medicine and criminal law.

HUMAN COMMUNICATION IN THE AGE OF ARTIFICIAL INTELLIGENCE (AI)

COMARTS 343

Explore the rapidly evolving landscape of communication technologies, with a particular focus on generative artificial intelligence (AI), and discuss its role in communication contexts. Examine the transformative effects of these emerging technologies on individual, social, and professional lives. Consider the potential dark sides of AI, including ethical concerns, biases, and the implications of over-reliance on technology in communication.

DATA AND ALGORITHMS: ETHICS AND POLICY

LIS 461

An introduction to ethical, legal and policy issues related to analytics, "big data" and algorithms to support decision making. Gain familiarity with major debates and controversies in a variety of contexts. Critically analyze course materials and apply moral reasoning and legal concepts to assess case studies and critique arguments made by others.

ARTIFICIAL INTELLIGENCE AND THE ENTERPRISE

GENBUS 708

A deep dive into the strategic, operational, organizational and cultural implications of applying Artificial Intelligence (AI) to today's business enterprise. Addresses the key dynamics required for individuals to provide leadership in AI within their organizations.

GENERATIVE ARTIFICIAL INTELLIGENCE FOR ENGINEERING APPLICATIONS

EPD 522

Comprehensive coverage of AI-powered chatbots, from understanding generative AI fundamentals to developing sophisticated chatbot applications. Hands-on experience with generative AI tools. Explore retrieval-augmented generation (RAG) techniques. Examine critical aspects such as security, privacy, and memory models. Knowledge of Python [such asCOMP SCI 220orE P D 455] strongly recommended.