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When AI Can Make Almost Anything, Judgment Becomes the Job - Mike Taylor | Learning Designer, Speaker & Author
When AI Can Make Almost Anything, Judgment Becomes the Job - Mike Taylor | Learning Designer, Speaker & Author
AI can now build a decent presentation in less time than it takes to refill your coffee. Give it a report, meeting notes, and an old deck you like. A few minutes later, you may have a polished set of slides with charts, colors, layouts, and formatting that look surprisingly good. That is impressive. ItContinue reading "When AI Can Make Almost Anything, Judgment Becomes the Job"
·mike-taylor.org·
When AI Can Make Almost Anything, Judgment Becomes the Job - Mike Taylor | Learning Designer, Speaker & Author
Can large language models reproduce higher education grade bands? Cross-model study of calibration and grading bias in authentic student writing
Can large language models reproduce higher education grade bands? Cross-model study of calibration and grading bias in authentic student writing
Large Language Models (LLMs) are becoming increasingly used to support higher education assessment, yet evidence of their capability on reproducing authentic institutional grade-band labels remains...
·tandfonline.com·
Can large language models reproduce higher education grade bands? Cross-model study of calibration and grading bias in authentic student writing
#leadershipcommunication #changecommunication | Nancy Duarte
#leadershipcommunication #changecommunication | Nancy Duarte
At our annual kickoff, I told my team that they needed to take AI seriously or they might not be a fit here anymore. This left some people feeling overwhelmed and wondering whether they still belonged (where most of our kickoffs leave them feeling energized). I had been convinced that we should be an AI-first company for two years.  I even restructured things so that I could step away from the day-to-day and immerse myself in AI. But for most of my team, the morning of the kickoff was the first time they heard about any of that. I came in excited and laid out the vision, but it didn’t land the way I expected. Later in our anonymous Q&A, employees had questions about AI’s environmental impact, whether using AI more would hurt output, whether their hard-earned skill sets would still be needed, and more. All of these were questions about values, belonging, and mastery… But I was coming at it from a strategy perspective, which is why it didn’t resonate with them. Even when your vision is right as a leader, you have to give your team time to absorb it.  You may have been thinking, dreaming, and creating this vision for years. You can’t expect your team to see it the way you do within an hour. And I talk more about how to close this gap in my Forbes C200 piece that just went live. Link below. #LeadershipCommunication #ChangeCommunication
·lnkd.in·
#leadershipcommunication #changecommunication | Nancy Duarte