lingo.lol is one of the many independent Mastodon servers you can use to participate in the fediverse.
A place for linguists, philologists, and other lovers of languages.

Server stats:

60
active users

#ai_commons

0 posts0 participants0 posts today
Open Future Foundation<p>“Addressing power imbalances in open ecosystems”, the January issue of our newsletter is out, and comes with:</p><p>✦ <span class="h-card"><a href="https://101010.pl/@tarkowski" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tarkowski</span></a></span> &amp; <span class="h-card"><a href="https://eupolicy.social/@paulk" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>paulk</span></a></span> reflect on the <a href="https://eupolicy.social/tags/ParadoxofOpen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ParadoxofOpen</span></a> <br>✦ We are hiring a part-time Editor/Communication Specialist <br>✦ <span class="h-card"><a href="https://eupolicy.social/@paulk" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>paulk</span></a></span> white paper proposing a European Public Digital Infrastructure Fund to build <a href="https://eupolicy.social/tags/DigitalPublicSpace" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DigitalPublicSpace</span></a>, open for feedback until 27 January<br>✦ <a href="https://eupolicy.social/tags/AI_Commons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI_Commons</span></a> final report<br>✦ … &amp; more!</p><p>Read "Addressing power imbalances in open ecosystems" → <a href="https://mailchi.mp/openfuture/addressing-power-imbalances-in-open-ecosystems?e=57bf1da40d" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mailchi.mp/openfuture/addressi</span><span class="invisible">ng-power-imbalances-in-open-ecosystems?e=57bf1da40d</span></a></p>
Open Future Foundation<p>Last year, we explored how openly licensed works are used in AI training datasets, and how these datasets could be better governed as a commons.</p><p><span class="h-card"><a href="https://101010.pl/@tarkowski" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>tarkowski</span></a></span> &amp; Zuzanna Warso summarize their findings in the <a href="https://eupolicy.social/tags/AI_Commons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI_Commons</span></a> final report: <a href="https://openfuture.eu/publication/ai-commons/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openfuture.eu/publication/ai-c</span><span class="invisible">ommons/</span></a></p>