mastodon.world is one of the many independent Mastodon servers you can use to participate in the fediverse.
Generic Mastodon server for anyone to use.

Server stats:

8.1K
active users

#EXPLAINABLE

0 posts0 participants0 posts today
Christophe Bousquet<p>Here is a nice paper on how to <a href="https://fediscience.org/tags/identify" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>identify</span></a> <a href="https://fediscience.org/tags/winning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>winning</span></a> strategies using <a href="https://fediscience.org/tags/explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainable</span></a> <a href="https://fediscience.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> in <a href="https://fediscience.org/tags/TeamSports" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TeamSports</span></a>, with a special emphasis on <a href="https://fediscience.org/tags/rugby" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rugby</span></a>.</p><p>A machine learning and explainability-driven methodology for identifying winning strategies in Rugby Union</p><p><a href="https://www.sciencedirect.com/science/article/pii/S2772662225000244" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">sciencedirect.com/science/arti</span><span class="invisible">cle/pii/S2772662225000244</span></a></p>
LLMsWhy do LLMs have emergent properties? Large language models display emergence behaviors: when the...<br><br><a href="https://www.johndcook.com/blog/2025/05/08/why-do-llms-have-emergent-properties/" rel="nofollow noopener" target="_blank">https://www.johndcook.com/blog/2025/05/08/why-do-llms-have-emergent-properties/</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AI" target="_blank">#AI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Algorithms" target="_blank">#Algorithms</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Artificial" target="_blank">#Artificial</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Intelligence" target="_blank">#Intelligence</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Machine" target="_blank">#Machine</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/learning" target="_blank">#learning</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/explainable" target="_blank">#explainable</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AI" target="_blank">#AI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/large" target="_blank">#large</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/language" target="_blank">#language</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/models" target="_blank">#models</a><br><br><a href="https://awakari.com/pub-msg.html?id=PYKVrxwtkwZOGyCvIhgteAnSiG0&amp;interestId=LLMs" rel="nofollow noopener" target="_blank">Result Details</a>
LLMsFormulation of Feature Circuits with Sparse Autoencoders in LLM Large Language models (LLMs) have...<br><br><a href="https://towardsdatascience.com/formulation-of-feature-circuits-with-sparse-autoencoders-in-llm/" rel="nofollow noopener" target="_blank">https://towardsdatascience.com/formulation-of-feature-circuits-with-sparse-autoencoders-in-llm/</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Large" target="_blank">#Large</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Language" target="_blank">#Language</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Models" target="_blank">#Models</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Explainable" target="_blank">#Explainable</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Ai" target="_blank">#Ai</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Machine" target="_blank">#Machine</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Learning" target="_blank">#Learning</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Neural" target="_blank">#Neural</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Networks" target="_blank">#Networks</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Sparse" target="_blank">#Sparse</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Autoencoder" target="_blank">#Autoencoder</a><br><br><a href="https://awakari.com/pub-msg.html?id=5k34zYeeVmwIurdVpqQRuOI3aOO" rel="nofollow noopener" target="_blank">Event Attributes</a>
LLMsAMD and Johns Hopkins Researchers Develop AI Agent Framework to Automate Scientific Research Proc...<br><br><a href="https://www.infoq.com/news/2025/01/amd-jhu-ai-lab-research-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global" rel="nofollow noopener" target="_blank">https://www.infoq.com/news/2025/01/amd-jhu-ai-lab-research-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/ChatGPT" target="_blank">#ChatGPT</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Generative" target="_blank">#Generative</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AI" target="_blank">#AI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Deep" target="_blank">#Deep</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Learning" target="_blank">#Learning</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/OpenAI" target="_blank">#OpenAI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Google" target="_blank">#Google</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/DeepMind" target="_blank">#DeepMind</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Explainable" target="_blank">#Explainable</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AI" target="_blank">#AI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Machine" target="_blank">#Machine</a><br><br><a href="https://awakari.com/pub-msg.html?id=5hZUnqzgLPL3cedNEqYe5h9CS6C" rel="nofollow noopener" target="_blank">Event Attributes</a>
LLMsAMD and Johns Hopkins Researchers Develop AI Agent Framework to Automate Scientific Research Proc...<br><br><a href="https://www.infoq.com/news/2025/01/amd-jhu-ai-lab-research-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global" rel="nofollow noopener" target="_blank">https://www.infoq.com/news/2025/01/amd-jhu-ai-lab-research-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Artificial" target="_blank">#Artificial</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Intelligence" target="_blank">#Intelligence</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AI" target="_blank">#AI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Architecture" target="_blank">#Architecture</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Explainable" target="_blank">#Explainable</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AI" target="_blank">#AI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Machine" target="_blank">#Machine</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Learning" target="_blank">#Learning</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/OpenAI" target="_blank">#OpenAI</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/ChatGPT" target="_blank">#ChatGPT</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/AIOps" target="_blank">#AIOps</a><br><br><a href="https://awakari.com/pub-msg.html?id=JcsqXrVoBuFmjSPjDYwcLxKjbJQ" rel="nofollow noopener" target="_blank">Event Attributes</a>
Muse™ - Listen to your Muse<p>Explainable AI: Thinking Like a Machine | by Joseph George Lewis | Towards AI</p><p><a href="https://pub.towardsai.net/explainable-ai-thinking-like-a-machine-e40fc77949ac" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">pub.towardsai.net/explainable-</span><span class="invisible">ai-thinking-like-a-machine-e40fc77949ac</span></a></p><p><a href="https://mastodon.world/tags/ExplainableAI" class="mention hashtag" rel="tag">#<span>ExplainableAI</span></a> <a href="https://mastodon.world/tags/ethics" class="mention hashtag" rel="tag">#<span>ethics</span></a> <a href="https://mastodon.world/tags/ethicalai" class="mention hashtag" rel="tag">#<span>ethicalai</span></a> <br /><a href="https://mastodon.world/tags/Machine" class="mention hashtag" rel="tag">#<span>Machine</span></a> <a href="https://mastodon.world/tags/Interpretable" class="mention hashtag" rel="tag">#<span>Interpretable</span></a> <a href="https://mastodon.world/tags/Explainable" class="mention hashtag" rel="tag">#<span>Explainable</span></a> <a href="https://mastodon.world/tags/XAI" class="mention hashtag" rel="tag">#<span>XAI</span></a> <a href="https://mastodon.world/tags/technology" class="mention hashtag" rel="tag">#<span>technology</span></a></p>
Gnôsis - Alexandre MARTIN<p>Explainable AI: Thinking Like a Machine | by Joseph George Lewis | Towards AI</p><p><a href="https://pub.towardsai.net/explainable-ai-thinking-like-a-machine-e40fc77949ac" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pub.towardsai.net/explainable-</span><span class="invisible">ai-thinking-like-a-machine-e40fc77949ac</span></a></p><p><a href="https://mastodon.social/tags/ExplainableAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExplainableAI</span></a> <a href="https://mastodon.social/tags/ethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ethics</span></a> <a href="https://mastodon.social/tags/ethicalai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ethicalai</span></a> <br><a href="https://mastodon.social/tags/Machine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Machine</span></a> <a href="https://mastodon.social/tags/Interpretable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Interpretable</span></a> <a href="https://mastodon.social/tags/Explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Explainable</span></a> <a href="https://mastodon.social/tags/XAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>XAI</span></a> <a href="https://mastodon.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a></p>
Computer Vision Group Jena<p>When using <a href="https://fediscience.org/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> for tasks in <a href="https://fediscience.org/tags/geosciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geosciences</span></a>, you should aim for <a href="https://fediscience.org/tags/interpretability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>interpretability</span></a>! Why this is the case and how to go about it is the topic of a brand-new article in the open access journal "Earth's Future" by Shijie Jiang and an interdisciplinary group of colleagues. Check it out!</p><p><a href="https://doi.org/10.1029/2024EF004540" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1029/2024EF004540</span><span class="invisible"></span></a></p><p><a href="https://fediscience.org/tags/Explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Explainable</span></a> <a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fediscience.org/tags/XAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>XAI</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Happy to announce our latest <a href="https://fosstodon.org/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a> short paper 📝: <br>"Towards <a href="https://fosstodon.org/tags/eXplainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eXplainable</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> for <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a>"<br><a href="https://arxiv.org/abs/2307.08461" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2307.08461</span><span class="invisible"></span></a></p><p>I'd love to hear your thoughts and experiences with <a href="https://fosstodon.org/tags/XAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>XAI</span></a> in <a href="https://fosstodon.org/tags/SpatialDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpatialDataScience</span></a> </p><p><a href="https://fosstodon.org/tags/GISchat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISchat</span></a></p>
time belongs wasted<p><span class="h-card"><a href="https://mastodon.online/@AmiW" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>AmiW</span></a></span> Although the message is clear, I think that it would not have needed such a "<a href="https://mastodon.art/tags/provocation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>provocation</span></a>" / somehow different, "compatible", could have been implemented satisfactorily. Photography should also as art still remain (technically) "<a href="https://mastodon.art/tags/explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainable</span></a>". Especially in times where we are already overchallenged with clumsy falsifications by <a href="https://mastodon.art/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>. I find myself abused in my sensations, at least "used", when I see something different than I expect.</p>
Lupposofi<p>Kuka kontrolloi ketä? -kysytään eilen ilmestyneessä EaIT-jounaalin artikkelissa liittyen tekoälyyn turvallisuusalalla, <a href="https://link.springer.com/article/10.1007/s10676-023-09686-x" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.1</span><span class="invisible">007/s10676-023-09686-x</span></a>. </p><p>Tämä toisena esimerkkinä kehumastani tuoreudesta ja ajankohtaisuudesta SEP-entryn OIR-linkeissä. "Merkittävän inhimillisen kontrollin" pohdinnat yleistynevät laajemminkin, vaikka esimerkkinä oli vain pommidroonin AI-avusteinen pudottaminen.</p><p>Asioita tutkitaan siksi, että ei kuvitella vielä tiedettävän.</p><p><a href="https://mastodontti.fi/tags/teko%C3%A4ly" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tekoäly</span></a> <a href="https://mastodontti.fi/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodontti.fi/tags/security" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>security</span></a> <a href="https://mastodontti.fi/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodontti.fi/tags/explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainable</span></a></p>
Benoît Allard<p><a href="https://osna.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> doesn't have to be a black-box. There is a real need to make it <a href="https://osna.social/tags/explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainable</span></a>. I can only see this getting bigger as the time comes. <a href="https://osna.social/tags/INNOQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>INNOQ</span></a>. Article in german.</p><p><a href="https://www.innoq.com/de/articles/2022/12/ki-systeme-mlops-model-governance-explainable-ai/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">innoq.com/de/articles/2022/12/</span><span class="invisible">ki-systeme-mlops-model-governance-explainable-ai/</span></a></p>
Dennis Alexis Valin Dittrich<p><a href="https://fediscience.org/tags/Fair" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fair</span></a> and <a href="https://fediscience.org/tags/Explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Explainable</span></a> <a href="https://fediscience.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a><br><a href="https://opendatascience.com/fair-and-explainable-machine-learning/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">opendatascience.com/fair-and-e</span><span class="invisible">xplainable-machine-learning/</span></a><br><a href="https://fediscience.org/tags/Bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bias</span></a></p>
Bruno Hebling Vieira<p>Very cool paper on ML interpretability and explainability.<br>I was surprised I hadn't come across it before <a href="https://arxiv.org/abs/2012.01805" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2012.01805</span><span class="invisible"></span></a></p><p><a href="https://mastodon.online/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.online/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.online/tags/explainable" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainable</span></a> <a href="https://mastodon.online/tags/eth" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eth</span></a></p>
Jordan Maris 🇪🇺 🇺🇦 #NAFO<p>MYTH #4: IT DOESN'T MATTER THAT <a href="https://eupolicy.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> IS NOT <a href="https://eupolicy.social/tags/EXPLAINABLE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EXPLAINABLE</span></a>, BECAUSE HUMANS DON'T ALWAYS EXPLAIN THEIR DECISIONS EITHER.</p><p>False: If a citizen wants to contest a decision, then the person making that decision must explain it. Most AI based on machine learning is not explainable(1/2)..</p>