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The 4D Framework for pK-12 educators — Transcript

by Claude · 1,108 words · 193 segments · language en · Watch on YouTube

Full transcript

  1. 0:01[snorts]
  2. 0:02[music]
  3. 0:07>> We want you to build lasting AI fluency.
  4. 0:10That means giving you the tools to use
  5. 0:12AI efficiently, ethically, and safely,
  6. 0:15no matter what challenges you might
  7. 0:16face. In this video, we'll walk through
  8. 0:18the 4D framework, four interconnected
  9. 0:21competencies that, when combined,
  10. 0:23transform how you work with AI. To help
  11. 0:26you apply this framework, we'll look at
  12. 0:28two modes of interaction with AI. The
  13. 0:30first mode is likely the one you're
  14. 0:32familiar with, how to engage with AI
  15. 0:35effectively on a day-to-day basis. This
  16. 0:38is the inner loop of description and
  17. 0:40discernment. You describe what you want
  18. 0:42AI to help you with, and then you
  19. 0:43discern if it meets your expectations.
  20. 0:46This is a critically important skill set
  21. 0:48when learning AI, but it's not
  22. 0:50sufficient on its own. In addition to
  23. 0:52everything that happens within your
  24. 0:53interactions with AI, there's also an
  25. 0:55outer loop of delegation and diligence.
  26. 0:58This is everything that happens in your
  27. 1:00workplace, community, and life around
  28. 1:02the use of AI. Should you be using AI at
  29. 1:04all? And if you do, what are your
  30. 1:07ethical responsibilities to ensure
  31. 1:08you're proceeding intentionally and
  32. 1:10responsibly? We'll be doing a brief
  33. 1:12overview of all of this today, but if
  34. 1:14you'd like a deeper understanding, check
  35. 1:16out the AI Fluency Framework and
  36. 1:18Foundations course on Anthropic Academy.
  37. 1:21Let's begin with a close look at the
  38. 1:23inner loop of description and
  39. 1:25discernment. Again, this happens during
  40. 1:27your day-to-day interactions with AI.
  41. 1:31Description is how we refer to
  42. 1:32communicating effectively with AI
  43. 1:34systems. Good prompt matters, but so
  44. 1:37does everything around it. The context
  45. 1:39you provide, the examples you share, how
  46. 1:41you refine and redirect the
  47. 1:43conversation.
  48. 1:44It all starts with defining what you
  49. 1:46want, your outputs, format, audience,
  50. 1:48and style.
  51. 1:50Instead of write a summary of this
  52. 1:51report, try getting specific.
  53. 1:54Summarize this report for an
  54. 1:56eighth-grade audience, focusing on the
  55. 1:57three highest impact findings in under
  56. 1:59300 words.
  57. 2:01But you can also define how the AI
  58. 2:03approaches your request. Think of it
  59. 2:05like giving instructions to a
  60. 2:06collaborator specifying the steps, the
  61. 2:09order of operations, or the reasoning
  62. 2:11approach you want the AI to follow.
  63. 2:13And you can shape the AI's behavior
  64. 2:15during your collaboration as well. Do
  65. 2:17you need a critical reviewer who pushes
  66. 2:20back on weak arguments, a brainstorming
  67. 2:22partner who builds on every idea, a
  68. 2:24fact-checker who flags uncertainty? You
  69. 2:27can ask for all of it.
  70. 2:29In our research, we found that
  71. 2:30description skills are the ones people
  72. 2:32pick up most naturally. Things like
  73. 2:35specifying what you want, giving
  74. 2:36examples, and refining your requests.
  75. 2:39Most people are already doing some
  76. 2:40version of these, and that's a great
  77. 2:42starting point. As you iterate and
  78. 2:44collaborate with AI, it's likely you'll
  79. 2:46get more comfortable and effective at
  80. 2:48description.
  81. 2:50Discernment, the companion to
  82. 2:51description, asks you to thoughtfully
  83. 2:54and critically evaluate your AI
  84. 2:56collaborator. Start with the output
  85. 2:58itself. Are these statistics accurate?
  86. 3:01Does this language reflect how your
  87. 3:02audience actually talks about this
  88. 3:04topic? Then look at how AI got there.
  89. 3:07Did it consider all relevant factors?
  90. 3:10Importantly, discernment doesn't just
  91. 3:12mean accepting or rejecting AI outputs.
  92. 3:14It involves iteration to get where you
  93. 3:17want to go.
  94. 3:18And while most people describe what they
  95. 3:20want fairly naturally, discernment is
  96. 3:22much rarer. In our research, skills like
  97. 3:25questioning AI's reasoning, checking
  98. 3:27facts, and identifying missing context
  99. 3:29were among the least common behaviors we
  100. 3:31observed. And that's where there's room
  101. 3:33to grow.
  102. 3:34It can be an easy step to miss, but it's
  103. 3:36critically important. It's what drives
  104. 3:38true AI collaboration. That's why
  105. 3:41description and discernment work
  106. 3:43together in a loop. You describe what
  107. 3:46you need, evaluate what you get, and
  108. 3:48then refine your description based on
  109. 3:50that evaluation. It's like working with
  110. 3:52a human teammate. You build a shared
  111. 3:54understanding through conversation.
  112. 3:57Using AI well in day-to-day interactions
  113. 3:59is only one piece of the puzzle. It's
  114. 4:01critical to understand all the ethical
  115. 4:03and social implications of AI use in
  116. 4:05your context. This is where the
  117. 4:07delegation diligence loop comes in.
  118. 4:09Delegation is deciding what work should
  119. 4:11be done by humans, what work should be
  120. 4:12done by AI, and how to distribute the
  121. 4:14tasks between them.
  122. 4:16Good delegation starts with
  123. 4:18understanding the work itself. Before
  124. 4:20drafting an email, ask yourself, is this
  125. 4:22a routine status update where AI can
  126. 4:24handle a first draft, or is this a
  127. 4:26sensitive message to a family about
  128. 4:28their child's progress where tone and
  129. 4:30nuance need to come directly from you?
  130. 4:32You also need to understand your tools.
  131. 4:35If you're working with confidential
  132. 4:36data, for example, you'd want to
  133. 4:38consider the privacy and security
  134. 4:39features of the AI system you're using.
  135. 4:42When you understand both the work and
  136. 4:44the tools, you can thoughtfully split
  137. 4:45tasks to leverage the strengths of each.
  138. 4:48We pair delegation with diligence,
  139. 4:51taking responsibility for how you use
  140. 4:54AI.
  141. 4:55That means being thoughtful about which
  142. 4:57AI systems you use and how you interact
  143. 4:59with them. Maybe you use AI to draft a
  144. 5:01project proposal, but you're intentional
  145. 5:03about which sections it works on and
  146. 5:05which require your own expertise.
  147. 5:08It means being honest about AI's role in
  148. 5:10your work with the people who need to
  149. 5:12know.
  150. 5:13Your colleagues and stakeholders deserve
  151. 5:15to understand when and how AI has been
  152. 5:18involved. And it means taking
  153. 5:20responsibility for verifying and
  154. 5:22vouching for the outputs you use or
  155. 5:23share. You check every claim, confirm
  156. 5:26accuracy, and make sure any final
  157. 5:28deliverable generally represents your
  158. 5:30goals and standards. You're always
  159. 5:32accountable for the final result.
  160. 5:34Delegation and diligence work together
  161. 5:37as a loop. The thoughtful choices you
  162. 5:39make about what to delegate to AI must
  163. 5:42be matched by ongoing responsibility for
  164. 5:44how how use it. And your diligent
  165. 5:47practices inform smarter delegation
  166. 5:49decisions over time.
  167. 5:50The four D's come alive when you use
  168. 5:53them together, creating a new syllabus,
  169. 5:55use delegation to decide what AI handles
  170. 5:58versus what you bring yourself.
  171. 6:00Use strong description to guide the AI's
  172. 6:02work, apply discernment to evaluate the
  173. 6:05results, and practice diligence
  174. 6:07throughout by choosing appropriate
  175. 6:09tools, being transparent about AI's
  176. 6:11role, and taking responsibility for
  177. 6:13accuracy. This framework is about making
  178. 6:15you more effective at the work that
  179. 6:17matters. Work that requires human
  180. 6:19judgment, creativity, and deep
  181. 6:21understanding of your context.
  182. 6:23Throughout this course, you'll apply
  183. 6:24these competencies to real challenges,
  184. 6:27creating differentiated instructional
  185. 6:29materials, analyzing data while
  186. 6:31protecting student privacy, and building
  187. 6:33lesson plans. The skills you take away
  188. 6:35will serve you as AI tools continue to
  189. 6:37evolve. You can learn more about AI
  190. 6:40fluency in Anthropic Academy, and we'll
  191. 6:42continue to share our research on this
  192. 6:43topic on Anthropic's blog.
  193. 6:47>> [music]

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