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1. Lithuanian creators, including music creators, should earn as much as the European average. Their income should level up to German and Finnish levels.

2. Lithuanian people should find good Lithuanian music in Lithuania on Spotify, YouTube and the radio. Foreign labels must not increase their market share and colonize the local creative ecosystem.

Joining the European Union

• Why should creators earn less than other skilled occupations and knowledge workers?
• Why should artists get less paid than the average in Lithuania?
• Why should Lithuanians get paid less than the average European?

Read More

Income & empirical comparisons | Setting the Value of Lithuanian Music

Why They Recommend American Music

• Is the algorithm cheating? ➡️ trustworthy AI policy, enabling courts, competition and consuerm protection agencies to protect the Lithuanian CCIs
• Is the algorithm learning from bad data? ➡️ national heritage policy, consolidate Lithuanian CCI data as linked, open data, and synch it daily with the world.
• Can we ask for 20% Lithuanian music in radio, television, YouTube or Spotify?

Lithuania is no different

There are initiatives in the progress: LATGA already improved the rights management for one part of the composer’s rights management, MIC has more than 400 profiles in their database online, LMVA already lobbied for quotas, the Kūrybiškos Europos biuras has bright funding ideas, and the country has a respected national library.

There are facts and ideas: Muzikos sritis - Ekspertinio vertinimo ataskaita | ArtTech – galimybės Lietuvos kultūros ir kūrybinių industrijų sektoriui. Rekomendacijos

Still a lot to do

Still much to do: revaluing music requires a cooperation of all rightsholders, making sure that the AI systems of streaming services work well requires linking (elements of) the existing databases, probably via the library, to web of data to sync knowledge into the global global databases about Lithuania. Plenty of education needed how to revalue, claim money or defend the country from dark algorithms.

Further reading

Open Polcy Analysis

Open Policy Brief

• Trustworthy Cultural AI: make big data work for Lithuania artists and small labels, publishers and CCIs
• Synchronize the (meta)data of Lithuania heritage and present cultural production as linked open data, so that autonomous systems of Spotify, YouTube, Wikipedia, Library of Congress, etc, can read it.
• Practical, open source solutions that can immediately applied
• Access to the OpenMuse know-how

LaLa Database

• Opt-in, opt-out database to make sure that you are in control
• Health check of artist data from Wikipedia to YouTube
• Make changes that avoid missing payments, recommendations errors.

Listen Local Database

• Write-in database that we do not forget about any new or legacy artists, crowdsourcing for fans, journalists, musicians, educators to add artists, bands, ensembles
• Minimum requirement one commercially released recording, one published music composition, a Wikipedia page. Other commercially not released artists, or their heirs must explicitly register to LaLa (if they are not public, GDPR applies)

Invitation for an open collaboration

Click for Contacts: Digital Music Observatory | Listen Local Lithuania | LaLa for Artists | Lala for Fans | Open Policy Analysis

Questions?

Get in Touch: Daniel - Valuations, Metadata, AI Policy | Ioanna - Fashion & Blockchain | Borbala - Fair competition and fighting dark algorithms | Mark - MXF

Market analysis

Local content regulation & goals

• Unpaid revenue rate
• Local content regulations for radios
• Goal setting on streaming

Avoiding negative outcomes

Trustworthy AI

Human agency and oversight | Technical Robustness and Safety | Human agency and oversight | Privacy and Data Governance | Transparency | Diversity, Non-Discrimination and Fairness | Societal and Environmental Well-Being

Data biases

• The data about the Lithuanian national cultural output and heritage shoulld be availabe in Lithuania
• Should be daily synchronized with the world via the Europena, Dbpedia, MusicBrainz and other open linked data solutions that connect YouTube, Spotify, and other platforms to daily, up-to-date knowledge to train their algorithms.
• AI is machine learning

Listen Local Lithuania

• open linked data: We aim to sync with AGATA, LATGA, the Martynas Mažvydas National Library of Lithuania, MIC and internationally via the Europeana, Music Brainz and Zenodo with global libraries, music services, and scientic repositories.

• open and smart policies: In sync with the the Cultural Ministry of Lithuania, providing a blueprint for film, television, books, newspapers, fashion, architecture, design and other cultural and creative industries.