trustworthy-ai

New spotifyr R Package Release

After a very thorough modernization of the package’s exception handling, documentation, and code dependencies that I did in the last week, the spotifyr package has passed again the peer-review standards and it is back on CRAN. The package is an excellent starting to point for R newbies to try their hands on musicology analysis with a few keystrokes. And of course, it is an essential part of the research infrastructure of musicology worldwide in far more advanced applications.

Trustworthy AI: Check Where the Machine Learning Algorithm is Learning From

We do care what our children learn, but we do not care yet about what our robots learn from. One key idea behind trustworthy AI is that you verify what data sources your machine learning algorithms can learn from. As we have emphasised in our forthcoming academic paper and in our experiments, one key problem that goes wrong when you see too few small country artists, or too few womxn in the charts is that the big tech recommendation systems and other autonomous systems are learning from historically biased or patchy data.

Recommendation Systems: What can Go Wrong with the Algorithm?

In complex systems there are hardly ever singular causes that explain undesired outcomes; in the case of algorithmic bias in music streaming, there is no single bullet that eliminates women from charts or makes Slovak or Estonian language content less valuable than that in English.

Harness the Algorithm

Save the Date: We will present the Listen Local project in the Algorithms in Film, Television and Sound Cultures: New Ways of Knowing and Storytelling conference.

The Problem of Gender Bias In Machine Translation

An interesting meme is going around on social media that shows the gender specific translations created by Google Translate from a source text typed in a genderless language, Hungarian.

The Problem of Gender Bias In Machine Translation

An interesting meme is going around on social media that shows the gender specific translations created by Google Translate from a source text typed in a genderless language, Hungarian.

Feasibility Study On Promoting Slovak Music In Slovakia & Abroad

Our new study opens the question of the local music promotion within the digital environment. The Slovak Performing and Mechanical Rights Society (SOZA), the State51 music group in the United Kingdom, and the Slovak Arts Council commissioned Reprex to created a feasibility study which provides recommendations for better use of quotas for Slovak radio stations and which also maps the share and promotion of Slovak music within large streaming and media platforms such as Spotify.

Feasibility Study On Promoting Slovak Music In Slovakia & Abroad

Why are the total market shares of Slovak music relatively low both on the domestic and the foreign markets? How can we measure the market share of the Slovak music in the domestic and foreign markets? We offer some answers and solution based on …

Ensuring the Visibility and Accessibility of European Creative Content on the World Market: The Need for Copyright Data Improvement in the Light of New Technologies

While the US have already taken steps to provide an integrated data space for music as of 1 January 2021, the EU is facing major obstacles not only in the field of music but also in other creative industry sectors. Weighing costs and benefits, there can be little doubt that new data improvement initiatives and sufficient investment in a better copyright data infrastructure should play a central role in EU copyright policy. Preprint of our article with copyright researchers.

Reprex Website

At last, Reprex has its own company website, leaving the two flagship project sites, the Demo Music Observatory and the Listen Local separate. We are back to blogging after a particularly difficult lockdown period.