Presenter Information

Yuri ZagvazdinFollow

Start Date

November 2025

End Date

November 2025

Keywords

Painting Analysis Artificial Intelligence Churchill History Neurosciences Stroke

Abstract

The objective of this presentation is to demonstrate a method for analyzing artistic style and its potential evolution using the Copilot AI platform. As a case study, I explore the paintings of Winston Churchill (1874–1965), the British Prime Minister, who was also a passionate and prolific painter. Although Churchill began painting in his forties, he produced over 500 works, with his final piece completed in 1962.

Churchill frequently painted scenes from Southern France and Morocco—locations he returned to repeatedly throughout his artistic life. Remarkably, he continued painting even after suffering multiple cerebrovascular accidents. Stroke-induced brain damage is typically detrimental to professional skills and creative expression. However, there are documented cases of individuals who not only recovered but also exhibited notable changes in their artistic output post-stroke.

As part of my research, I selected several pairs of Churchill’s paintings depicting the same locations or objects—created before and after his major stroke in June 1953. The goal was to examine whether this neurological event led to a discernible shift or impairment in his painting style.

In this 25-minute presentation, I will share with the community of educators and researchers my experience using Office 365’s Copilot AI to conduct this analysis. I will highlight how this tool can be applied to case studies involving evolution of artistic expression and style comparison.

Learning Outcomes

Learning Outcomes

By the end of this session, participants will be able to:

  1. Identify and describe the key steps involved in analyzing images using the Copilot AI platform.
  2. Explain how AI-based image analysis can be refined to improve accuracy and relevance.
  3. Apply AI image analysis to case studies across various disciplines, including art and art history, art therapy, history of medicine, life sciences, and other related fields.

Track

Teaching & Learning Technologies

Session Type

25-Minute Session

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Nov 6th, 3:00 PM Nov 6th, 3:25 PM

Paintings Analysis Using Copilot AI: The Case of Winston Churchill and Art in His Life

The objective of this presentation is to demonstrate a method for analyzing artistic style and its potential evolution using the Copilot AI platform. As a case study, I explore the paintings of Winston Churchill (1874–1965), the British Prime Minister, who was also a passionate and prolific painter. Although Churchill began painting in his forties, he produced over 500 works, with his final piece completed in 1962.

Churchill frequently painted scenes from Southern France and Morocco—locations he returned to repeatedly throughout his artistic life. Remarkably, he continued painting even after suffering multiple cerebrovascular accidents. Stroke-induced brain damage is typically detrimental to professional skills and creative expression. However, there are documented cases of individuals who not only recovered but also exhibited notable changes in their artistic output post-stroke.

As part of my research, I selected several pairs of Churchill’s paintings depicting the same locations or objects—created before and after his major stroke in June 1953. The goal was to examine whether this neurological event led to a discernible shift or impairment in his painting style.

In this 25-minute presentation, I will share with the community of educators and researchers my experience using Office 365’s Copilot AI to conduct this analysis. I will highlight how this tool can be applied to case studies involving evolution of artistic expression and style comparison.