Posts by impactology@mastodon.social
(DIR) Post #AsG2eyp6DMXMPYKrJo by impactology@mastodon.social
2025-03-20T10:24:28Z
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User-interface (UI) disclosures:Provide transparency into confidence levelsAI systems should disclose their confidence levels, the limitations of their training data, & potential sources of error. Transparency could help users understand when to question or verify AI outputs
(DIR) Post #AsG2f3JNWj8OKcX64O by impactology@mastodon.social
2025-03-20T10:25:37Z
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Institute AI literacy. Prioritize the teaching of digital-literacy and critical-thinking skills, empowering users to assess the reliability of AI-generated information.
(DIR) Post #AsG2f7OqKLsl0j7W8u by impactology@mastodon.social
2025-03-20T10:27:21Z
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Provide prompt-creation support. AI user interfaces could provide users with more instruction and feedback on developing effective prompts and asking exploratory questions to bridge their knowledge gaps. Tools that offer guided prompts or highlight related knowledge paths can help users refine their inputs and expand their understanding.
(DIR) Post #AsG2fCCGUXn9tAH2jQ by impactology@mastodon.social
2025-03-20T10:35:58Z
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Challenge cognitive biases. Embed features that highlight alternative interpretations or edge cases. For example, tools could surface contrasting data points or scenarios to encourage critical thinking
(DIR) Post #AsG2fGfTrrXRkvyQpE by impactology@mastodon.social
2025-03-20T10:43:42Z
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Research shows that frequent interactions with LLMs fosters passivity rather than active knowledge-building and critical thinking.In UX design and business process re-engineering (BPR) this could lead to a phenomenon in which users repeatedly defer to an AI, without forming their own opinions or a deeper understanding of workflows.
(DIR) Post #AsG2fLexJF5bEklaCW by impactology@mastodon.social
2025-03-20T11:00:16Z
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Design AI systems that require users to input their reasoning or decisions before showing them AI suggestions. Huh like deepseek?
(DIR) Post #AsG2fQfqfLm4myDrmq by impactology@mastodon.social
2025-03-20T11:00:48Z
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Develop critical-thinking exercises. Regularly include exercises that require employees to challenge AI outputs or provide counterarguments, fostering a culture of questioning and innovation.
(DIR) Post #AsG2fVlLkK96ZTppYW by impactology@mastodon.social
2025-03-20T11:09:45Z
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Loss of Domain-Knowledge Development, Retention, and RecallPast research shows that, as people rely more on external tools such GPS and search engines, they might become less likely to retain information or develop problem-solving instincts.
(DIR) Post #AsG2fakTD1Pg2CShNY by impactology@mastodon.social
2025-03-20T11:10:34Z
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Reduction in underlying domain knowledge inhibits an expert's ability to discern nuance, recognize debunked theories and outdated information, or recall mitigating strategies and edge cases.
(DIR) Post #AsG2ffouLwvxlPZoUS by impactology@mastodon.social
2025-03-20T11:11:42Z
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Create memory aids and testing. Periodically quiz or prompt users to help them recall previous decisions or key knowledge. This strengthens their memory and keeps them engaged with the material over time.Hmm should a SaaS service/tool feel like an exam, test?
(DIR) Post #AsG2fkgwF0Wus8t1GK by impactology@mastodon.social
2025-03-20T11:12:06Z
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Embed reflection steps. Incorporate mandatory reflection or review stages in workflows when users summarize what they’ve learned or explain their rationale for decisions.
(DIR) Post #AsG2fpbnxWOW7fWUSG by impactology@mastodon.social
2025-03-20T11:18:06Z
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Implement automation gradually. Provide controls that let managers introduce automation gradually, allowing more junior team members to develop expertise as they use the tool.
(DIR) Post #AsG2fwbLxbBzoIMjDs by impactology@mastodon.social
2025-03-20T11:18:32Z
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For instance, enable manual overrides and require periodic user input to prevent over-reliance on the tool by novice users. Create reports that evaluate the sophistication of user engagement to identify skills gaps and inform career-development plans.
(DIR) Post #AsG2g1WvdTcl61KlWK by impactology@mastodon.social
2025-03-20T11:18:59Z
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Create simulated learning environments. Use AI to create immersive simulations or scenario-based training, encouraging users to engage with problem-solving in realistic contexts without offloading cognitive effort entirely.
(DIR) Post #AsG2g6rfnmBldo4u36 by impactology@mastodon.social
2025-03-20T11:19:21Z
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Foster a knowledge-sharing culture. Encourage employees to share their expertise by documenting insights or mentoring others, ensuring the distribution of knowledge rather than confining knowledge to individuals or tools.
(DIR) Post #AsG2gCLHR7qId4y7OK by impactology@mastodon.social
2025-03-20T11:20:18Z
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Encourage mentorship and pairing. Establish a mentoring program and implement the pairing of novices with mid-career or expert team members to bridge knowledge gaps and ensure that you’re cultivating genuine expertise within teams.
(DIR) Post #AsG2gGfzK4me4SgiDw by impactology@mastodon.social
2025-03-20T11:21:10Z
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Remove the stigma of ignorance. A cultural shift is necessary to normalize the admission of knowledge gaps and encourage curiosity, vulnerability, and humility. Business processes can incorporate moments that encourage stakeholders to state uncertainties and seek external input. Design workshops and UX feedback loops can include reflection points for identifying blind spots and collectively addressing gaps.
(DIR) Post #AsG2gKsBiev35SQVnM by impactology@mastodon.social
2025-03-20T11:21:52Z
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You could also employ rotating subject-matter expert panels to create question-and-answer (Q&A) safe spaces.
(DIR) Post #Av3UiQx0zYucJCkJ9M by impactology@mastodon.social
2025-06-12T13:20:42Z
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@futurebird End written paper tests that emphasize purely memorization and recall. That alone would help massively
(DIR) Post #AxSg00DBms3xiP1V0y by impactology@mastodon.social
2025-08-23T04:46:46Z
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What are the main causes of bugs and factors that render code unmaintainable? What defines bad quality code, and why is it considered poor? Why do top-tier performance engineering consultants succeed in creating performant, scalable, maintainable code, while others can't? What prevents good code from being written or perpetuates bad code?