ΑΙhub.org
 

2021 AI Song Contest entries now online


by
01 June 2021



share this:
electronic keyboard

You may remember the inaugural AI Song Contest, held back in the spring of 2020. We wrote about it here. Now the competition is back, and the songs have just been made available to the public.

The number of entries has increased this time, with 38 teams getting creative this year, up from 13 in 2020. You can find all of the entries here. Each team has written about their song, the inspiration behind it, the how the human-AI co-creation process worked. The lyrics are also available for your perusal.

Between June 1, 2021 and July 1, 2021 voting is open for the international public. Anyone can evaluate as many songs as they like: from one, up to all 38. Each participating team will be awarded two sets of points: one from the public vote, and the other from an expert jury.

On July 6 there will be multiple online panel sessions, and the winner of the AI Song Contest 2021 will be announced in an online award ceremony.

To give a taster, here are a handful of the entries:

Feijão de Corda by TridecatoNICS
Han:한 by H:Ai:N
Belta Tormenti by HfMT Hamburg
Listen to Your Body Choir by M.O.G.I.I.7.E.D.



Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AAAI presidential panel – AI evaluation

  21 Sep 2026
Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.

Disappearing lakes and AI are helping scientists map Arctic permafrost thaw in near‑real time

  18 Sep 2026
Researchers created an interactive website to track permafrost thaw across the Arctic.

How much can fair budget-division rules resist manipulation?

The authors write about their award-winning IJCAI-ECAI paper: "Approximate Strategyproofness in Approval-based Budget Division".

AI dives into a sea of data, from plankton to pollution

  16 Sep 2026
“Faster and cheaper monitoring means problems like plankton decline, litter accumulation, oil spills and coral degradation can be picked up and acted on sooner."

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence