{"id":35716,"date":"2024-12-09T12:33:19","date_gmt":"2024-12-09T12:33:19","guid":{"rendered":"https:\/\/digileaders.com\/?p=35716"},"modified":"2024-12-13T09:57:45","modified_gmt":"2024-12-13T09:57:45","slug":"my-top-three-ways-for-organisations-to-think-about-using-gen-ai","status":"publish","type":"post","link":"https:\/\/digileaders.com\/my-top-three-ways-for-organisations-to-think-about-using-gen-ai\/","title":{"rendered":"My top three ways for organisations to think about using Gen AI"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Finding the right language to talk about a new invention is an important step to understanding it. That&#8217;s why I love Drew Breunig\u2019s essay \u201cGods, Interns and Cogs\u201d:\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Drew divides AI use cases into 3 buckets:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gods are the human-replacement use cases. The much hyped artificial general intelligences (AGI) that are allegedly just around the corner\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Interns are the copilots\u2026 Their defining quality is that they are used and supervised by experts. They have a high tolerance for errors because said expert is reviewing their output, and can prevent embarrassing mistakes from going further.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cogs are comparable to functions. They\u2019re designed to do one task, unsupervised, very well. Cogs have a low tolerance for errors because they run with little expert oversight.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">I have been helping organisations think through their AI priorities and the &#8216;God&#8217; vs &#8216;Intern&#8217; distinction is very helpful. So I thought I would share my top three ways an organisation can think about using GenAI.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3>1. Avoid &#8216;God&#8217; workflows<\/h3>\n<p><span style=\"font-weight: 400;\">In thinking about how to use Gen AI I believe the first step\u00a0 is for everyone to suggest ideas. You will typically generate a dozen or so Post-it notes, of areas where AI could make an impact.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Since reading Drew&#8217;s essay, my next step is to divide the Post-its into &#8216;God&#8217; ideas and &#8216;Intern&#8217; ideas.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Without the Gods\/Interns distinction, it is easy to slip into discussing God-like possibilities, where the AI is expected to act like an oracle. This pushes AI beyond what&#8217;s achievable, especially in casework environments where you are making important decisions based off pretty messy data.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3>2. What\u2019s a good job for an intern? \u200d<\/h3>\n<p><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">The second question for any organisation wondering where AI can deliver the most impact: If you had unlimited interns, what would they do?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That focuses the conversation on the job to be done and steers it away from pie in the sky.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">What are the characteristics of good jobs for interns?\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Time-consuming to carry out, but quick to evaluate<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Ideally you can tell at a glance whether the intern has got it right. Drew says the \u2018defining quality [of interns] is that they are used and supervised by experts\u2018. Ease of supervision is key.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u200d<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Safe fall back. Not critical if the intern makes a mistake<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">You wouldn\u2019t trust an intern with life and death decisions. <\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u200d<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lots of examples to copy <\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">From the AI implementation perspective, this helps with training and with evaluation. It also means you are working on frequently recurring tasks, so it is worth the cost of automation. <\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u200d<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Drudge work<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\">Some jobs are time-consuming and non-critical and frequently reproducible but they still aren\u2019t suitable for AI powered workflows. In my own recent work with a social services organization, I could see that certain time-consuming tasks actually served an important purpose: they provided caseworkers with essential thinking time to formulate their recommendations. Perhaps not all &#8220;drudge work&#8221; should be eliminated.\u00a0<\/span><\/li>\n<\/ul>\n<h3><\/h3>\n<h3>3. Remember digital product development good practice<\/h3>\n<p><span style=\"font-weight: 400;\">Finally, AI is a tool. Framing AI as an intern keeps product development discussions grounded.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Much of work implementing AI is in the realm of digital product development. LLMs fit into a standard toolbox: techniques like UX, MVPs and Agile all still apply.\u00a0 That\u2019s not to say that nothing has changed. Large Language Models bring this unfamiliar, non-deterministic, automated intern to be integrated into software. <\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">A big new challenge is going to be evaluation of its impact and ROI. This will be a big part of how we consider GenAI in 2025. <\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">That human-ness of an intern, wired into software, is an extraordinary new capability for humankind. Over the next few years I believe it will become clear that AI is a huge help to caseworkers, saving time on admin and allowing them to better focus on the human connection which is at the heart of their job.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The future of AI in social services isn&#8217;t about replacing human judgment with artificial intelligence \u2013 it&#8217;s about giving professionals the digital interns they need to spend more time on what matters: helping people.<\/span><\/p>\n<hr \/>\n<p style=\"text-align: center;\"><span class=\"btn-container\"><a class=\"btn btn-md btn-primary\" href=\"#\">Read More Data &amp; Decision Making <i class=\"far fa-caret-right\"><\/i><\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Finding the right language to talk about a new invention is an important step to understanding it. That&#8217;s why I love Drew Breunig\u2019s essay \u201cGods, Interns and Cogs\u201d:\u00a0 Drew divides AI use cases into 3 buckets:\u00a0 Gods are the human-replacement use cases. The much hyped [&hellip;]<\/p>\n","protected":false},"author":51,"featured_media":35717,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"class_list":["post-35716","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","topic-data-decision-making","topic-productivity-innovation","topic-fas-fa-graduation-cap"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>My top three ways for organisations to think about using Gen AI | Digital Leaders<\/title>\n<meta name=\"description\" content=\"Finding the right language to talk about a new invention is an important step to understanding it. 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