Video summary

Can AI create art? A TD curator responds

Main summary

Key takeaways

Art and Creativity

Summary

The video discusses whether—and how—AI can be considered “art,” using the perspective of Stuart Keeler, Senior Curator at TD Bank (Toronto-Dominion Bank) and curator of TD’s extensive art collection. It presents TD’s curatorial philosophy (art as conversation, not decoration), explains how the collection is organized and displayed across TD locations, and then shifts to practical ways AI supports curatorial research—while emphasizing that human critical thinking remains central.

Key themes

  • AI as a research accelerator: helping curators and art historians scan global art and heritage conversations faster than traditional search methods.
  • Human-curatorial dialogue as essential: AI can draft or suggest, but curators must fact-check, contextualize, and pursue deeper meaning through human inquiry.
  • Artists using AI to question authority and explore new voices, including examples of AI-informed works in TD’s collection.
  • Creativity cannot be “copy-paste”: originality and artistic transformation—conceptual, material, and contextual “flipping”—are what make something art.
  • Technology change as part of art history: the video compares AI’s disruptive entry to earlier shifts (e.g., impressionism, cubism, surrealism, photography, video, and radical sculptural materials).
  • Future collecting: TD is monitoring AI-generated or AI-informed works, reportedly already holding a small number (mainly in photographic imagery), with gradual movement toward broader inclusion.

Artistic techniques, concepts, and creative processes shown or mentioned

Curatorial and archival research workflow enhanced by AI

  • Using AI to expedite research and broaden scanning of art heritage and cultural trends beyond Canada.
  • Treating AI outputs as a starting point for further human investigation.
  • Fact-checking and correcting AI-provided or suggested information using library resources and human expertise.

AI-informed artmaking (artist practices)

  • Mention of AI works in the TD collection, described as “AI in form,” especially within photographic imagery.
  • An artist example where AI is used to manipulate voice/sound—described as “using their voice to teach it to sing.”
  • Using AI to question the “voice of authority,” framed as a thematic concern about who controls meaning, accuracy, and institutional legitimacy.

Conceptual emphasis on “transformation,” not emulation

The discussion argues that art emerges when artists:

  • take familiar materials or ideas,
  • flip or reframe them through concept, material invention, and lived experience,
  • and create a human resonance that cannot be reduced to copying.

Historical analogy as a creative framework

AI is positioned similarly to earlier “radical” media shifts, such as:

  • impressionism, cubism, surrealism,
  • plastics in sculpture,
  • and the eventual acceptance of photography and video as art forms.

Steps / process advice (as presented)

When using AI research outputs

  1. Use AI to speed up discovery and identify what’s happening globally.
  2. Verify with human expertise:
    • consult library resources,
    • challenge AI-provided claims,
    • and engage in deeper contextual dialogue (artist intent, historical background, and conceptual framing).

When evaluating whether a work is AI-related and meaningful

  • Don’t stop at the visual label (“it’s AI”).
  • Read the full context/story behind the work.
  • Ask what the artist is doing conceptually and materially—and what the work is communicating.

Creators or contributors featured

  • Stuart Keeler — Senior Curator at TD; responsible for TD’s art collection
  • Saz Mazani — Toronto-based artist, referenced for AI-related works in the TD collection
  • Liz Stewart — Host/moderator; asked questions and introduced topics

Original video