A podcast-style course exploring the world of Machine Learning, from foundational concepts to real-world applications. We'll delve into common algorithms, emphasizing the crucial roles of data preparation and model evaluation. This MARC audio course offers an accessible discussion on the capabilities and challenges of AI, promoting understanding and responsible development.

In the Kitchen with ML - From Data to Deployment

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

"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

Recommendation engines don't like your individualism, but your refined taste might not be as personal as you think. Listen on ...

On Taste

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

New tracks tagged #audio course