Dive into the increasingly sophisticated world of AI agents in this podcast-style course. We examine how these agents are learning to decipher our intentions (intent detection), unlocking the potential for highly personalized experiences. But this power comes with a price: we'll also explore the thorny ethical issues surrounding manipulation, user profiling, and the line between helpful assistance and engineered deception.

Podcast

AI doesn't care about you

What if AI could truly understand what you want? This podcast-style course explores the cutting edge of AI agents and intent detection, revealing the potential for personalized experiences. But at what cost? We'll confront the ethical minefield of manipulation and user profiling, asking: how much is too much?

AI and You

This podcast-style course explores a new paradigm in designing User Interfaces by focusing on Intent Detection using Context SDK. Its implications for subjective user experiences and related ethical concerns like user manipulation. It also examines abductive reasoning and its deceptive capabilities, raising questions about transparency and the urgent need for responsible AI development.

Intent-driven Interfaces

This podcast-style course explores the distinction between AI being "clever" rather than truly "intelligent", examining how seemingly intelligent behavior can arise from sophisticated algorithms that may lack genuine understanding or consciousness.

AI, The Mischievous Toddler

This podcast-style course explores the evolving landscape of AI and creativity, from chatbots to "super systems."  It examines AI mechanics (machine learning, deep learning), its impact on UI design (dynamic, predictive experiences), and ethical concerns (memory manipulation, speed of thought).  Finally, it considers AI's philosophical implications, questioning intelligence, understanding, and creativity.

AI for Creatives: A Primer on Concepts and Capabilities

This course explores the inner workings of LLMs, from tokenization and transformers to their diverse applications in healthcare, education, and creative fields, while addressing current limitations and ethical concerns.

What is an LLM, and how does it work?

This course delves into AI homogenization on Instagram, exploring how algorithmic bias and limited style ranges lead to creative constraints. It analyzes the intentionally opaque design of the algorithm and provides strategies for combating these limitations, such as diversifying training data and championing human creativity.

Welcome to the homogenization echo chamber

Learn about designing multimodal interfaces for AI, prioritizing trust and empathy. Understand ethical considerations and become a data-savvy AI designer.

Multimodal AI Interfaces

AI gets it wrong. This conversational course reveals how, with Bonnie and Clyde pinpointing the various causes and error types. How to not blindly trust AI. Compare, fact-check, and be aware of your own biases.

AI Hallucinations

This course provides a comprehensive overview of current AI writing tools and their practical applications. We'll examine the benefits they offer writers, discuss ethical considerations, and explore how to maintain your personal style in an AI-assisted environment. You'll also gain insights into the current landscape of AI usage within the writing industry.

AI in Creative Writing

Learn about AI's practical uses in filmmaking. Bonnie and Clyde guide you through its applications in production and post, while addressing the industry's evolving concerns.

AI in Filmmaking

"Data Literacy for Designers" highlights the growing necessity for designers to use data effectively. The conversation covers data types, core literacy components (understanding, interpreting, communicating, questioning), and their application in design through analytics, testing, and user research. The discussion also touches on data as a feature and ethical implications, advocating for ongoing learning for better, user-focused design.

Data Literacy for Designers - Part 1

Data, AI, and the New Design Processes. This course analyzes the profound impact of data and artificial intelligence on design processes. It explores how AI-powered tools are transforming design disciplines, automating tasks and enabling faster workflows while shifting the designer's role towards curation and strategic prompting. The course examines the unprecedented speed and memory capabilities of AI, highlighting both opportunities for personalization and risks like design homogenization and ethical concerns. Ultimately, it discusses the evolving relationship between human designers and AI, emphasizing the importance of human skills alongside these emerging technologies to shape the future of design.

Data Literacy for Designers - Part 2

We try, we fail, we try again, we succeed, we improve, we get curious, we try variations. That's how we learn. Curiosity is food for the brain. AI is oftentimes a shortcut; use it with caution.

Can AI be a shortcut without shortchanging creativity? This conversational course analyzes the benefits and risks of using artificial intelligence in art and design, including potential skill erosion and homogenization. The conversation also touches on Daniel Dennett's "intuition pumps" as a framework for understanding technology's impact on creativity.

AI as a Shortcut: Skills Atrophy and Other AI Byproducts

M.A.R.C. Multidisciplinary Arts Research Center
Audio Courses in Art & Technology

MARC

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