Generative AI Used to Create Ring for King's Coronation

British jeweler Taylor & Hart used generative AI to design a signet ring for His Majesty King Charles III

Deborah Yao, Editor, AI Business

May 4, 2023

2 Min Read
Image shows King Charles III ahead of his coronation
Chris Jackson/Getty Images

To commemorate the coronation of King Charles III on May 6, a London jeweler has designed a signet ring for the monarch using generative AI.

“With King Charles III’s ascension to the throne as king, a new ring to accompany his new title is in order,” said Taylor & Hart in a blog post.

Following the death of Queen Elizabeth last September, her eldest son Prince Charles acceded to the throne at the age of 73. He will be crowned in Westminster Abbey, following tradition, wearing St. Edward's Crown, which is made of solid gold. Camilla Parker Bowles will be crowned Queen Consort.

“In celebration of the upcoming coronation, we’ve designed a meticulously detailed bespoke signet ring with motifs symbolic of the four nations of the realm, including the Irish shamrock, Scottish thistle, Welsh daffodil and English rose," according to the jeweler.



“Reflecting His Royal Highness’ love of nature and the royal affiliation with 18-carat Welsh gold, each of these motifs are incorporated in the design using traditional filigree, an ornamental openwork composed of wires of gold,” the jeweler said.

“The design incorporates the official monogram with the King’s initial ‘C’ intertwined with the letter ‘R’ for Rex – Latin for king – with ‘III’ denoting Charles III, and the crown above the letters.”

“The royal cypher is embossed backwards, in order that the signet could be used as a monogram for sealing letters in melted wax.”

Other AI designs that were considered by the jeweler:

This article first appeared in IoT World Today's sister publication AI Business.

About the Author

Deborah Yao

Editor, AI Business

Deborah Yao is an award-winning journalist who has worked at The Associated Press, Amazon and the Wharton School. A graduate of Stanford University, she is a business and tech news veteran with particular expertise in finance. She loves writing stories at the intersection of AI and business.



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