<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Collab And Joint Work on Systems &amp; Engineering</title><link>https://valery.tech/ai/collab-and-joint-work/</link><description>Recent content in Collab And Joint Work on Systems &amp; Engineering</description><generator>Hugo</generator><language>en-US</language><copyright>Copyright (c) 2014-2023</copyright><atom:link href="https://valery.tech/ai/collab-and-joint-work/index.xml" rel="self" type="application/rss+xml"/><item><title>Build Approach</title><link>https://valery.tech/ai/collab-and-joint-work/build-approach/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai/collab-and-joint-work/build-approach/</guid><description>&lt;h2 id="definitive-features-as-a-foundation"&gt;definitive features as a foundation&lt;/h2&gt;
&lt;p&gt;perhaps we could extract definitive features of participants? Like, for llm it will be not only probabilistic output, ability to summarize and understand natural language but more that it could generate texts (on one level) and therefore make some reasoning, and also non-reliable.&lt;/p&gt;</description></item><item><title>Collab Transfer</title><link>https://valery.tech/ai/collab-and-joint-work/collab-transfer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai/collab-and-joint-work/collab-transfer/</guid><description>&lt;p&gt;I&amp;rsquo;d name the underlying lens &lt;strong&gt;joint activity&lt;/strong&gt; or &lt;strong&gt;collaborative work&lt;/strong&gt;, not simply &amp;ldquo;team collaboration.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;The core assumption is:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Two or more actors are trying to achieve a shared outcome while information, capabilities, judgment, and authority are distributed between them.&lt;/p&gt;</description></item><item><title>Human Ai Collaboration Patterns Report</title><link>https://valery.tech/ai/collab-and-joint-work/human-ai-collaboration-patterns-report/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai/collab-and-joint-work/human-ai-collaboration-patterns-report/</guid><description>&lt;h1 id="human-ai-collaboration-patterns-a-practitioner-and-research-synthesis"&gt;Human-AI Collaboration Patterns: A Practitioner and Research Synthesis&lt;/h1&gt;
&lt;h2 id="executive-summary"&gt;Executive summary&lt;/h2&gt;
&lt;p&gt;There is &lt;strong&gt;no single, settled practitioner taxonomy of human-AI collaboration patterns&lt;/strong&gt;. The field is converging, but different traditions describe different layers of the problem. Google PAIR and Microsoft HAX mostly formulate &lt;strong&gt;interaction mechanics&lt;/strong&gt;&amp;ndash;feedback, correction, explanations, supervision, control, graceful failure, and automation levels. Modern agent products from OpenAI, Anthropic, and GitHub increasingly embody &lt;strong&gt;work-allocation patterns&lt;/strong&gt; such as delegation, plan/review, monitoring/intervention, and explicit handoff. HCI papers, meanwhile, use terms such as &lt;em&gt;AI-first assistance&lt;/em&gt;, &lt;em&gt;AI-follow assistance&lt;/em&gt;, &lt;em&gt;dialogic engagement&lt;/em&gt;, &lt;em&gt;mixed initiative&lt;/em&gt;, &lt;em&gt;co-creation&lt;/em&gt;, and &lt;em&gt;delegation&lt;/em&gt;. Teamwork and joint-activity research supplies the deeper requirements: common ground, mutual predictability, mutual directability, performance monitoring, backup behavior, and adaptability. &lt;sup id="fnref:1"&gt;&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref"&gt;1&lt;/a&gt;&lt;/sup&gt;&lt;sup id="fnref:2"&gt;&lt;a href="#fn:2" class="footnote-ref" role="doc-noteref"&gt;2&lt;/a&gt;&lt;/sup&gt;&lt;sup id="fnref:3"&gt;&lt;a href="#fn:3" class="footnote-ref" role="doc-noteref"&gt;3&lt;/a&gt;&lt;/sup&gt;&lt;sup id="fnref:4"&gt;&lt;a href="#fn:4" class="footnote-ref" role="doc-noteref"&gt;4&lt;/a&gt;&lt;/sup&gt;&lt;sup id="fnref:5"&gt;&lt;a href="#fn:5" class="footnote-ref" role="doc-noteref"&gt;5&lt;/a&gt;&lt;/sup&gt;&lt;/p&gt;</description></item><item><title>Joint And Collap Principles</title><link>https://valery.tech/ai/collab-and-joint-work/joint-and-collap-principles/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://valery.tech/ai/collab-and-joint-work/joint-and-collap-principles/</guid><description>&lt;p&gt;Yes. I think there is a publishable paper here, but I’d frame the motivation more carefully than “researchers know this; practitioners don’t read the papers.”&lt;/p&gt;</description></item></channel></rss>