Post AsG2fLexJF5bEklaCW by impactology@mastodon.social
 (DIR) More posts by impactology@mastodon.social
 (DIR) Post #AsG2eBtK8rnkeSw2bI by impactology@mastodon.social
       2025-03-20T09:51:02Z
       
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       Designing AI for Human Expertise: Preventing Cognitive Shortcuts By Jolie Dobre | UXmatters https://www.uxmatters.com/mt/archives/2025/02/designing-ai-for-human-expertise-preventing-cognitive-shortcuts.php
       
 (DIR) Post #AsG2eCmynwJxR4yULo by impactology@mastodon.social
       2025-03-20T10:11:13Z
       
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       AI's integration into workflows poses a significant challenge: the erosion of critical-thinking skills. Without these skills, the human ability to innovate through intuitive leaps—those Eureka! moments when insights converge to spark groundbreaking ideas—diminishes.
       
 (DIR) Post #AsG2eHMvmDSHdjpFwW by impactology@mastodon.social
       2025-03-20T10:11:50Z
       
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       Moreover, the implications extend beyond economics to national security. A workforce that depends on AI at the expense of critical thinking impairs future generations’ ability to lead in thought, technology, and innovation.
       
 (DIR) Post #AsG2eMY6W6Mbhq5kYK by impactology@mastodon.social
       2025-03-20T10:12:11Z
       
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       The potential cognitive impacts of broad AI use present UX designers and business-process analysts with a new challenge: balancing the immense potential of AI with the foundational principles of human mastery.
       
 (DIR) Post #AsG2eRV66hvh3xiv3o by impactology@mastodon.social
       2025-03-20T10:13:57Z
       
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       As UX designers and process analysts, we are uniquely positioned to influence the design and implementation of AI to enhance its role as a decision-support tool that complements human judgment. AI should develop and build upon human cognition rather than replacing it.
       
 (DIR) Post #AsG2eY9jMXzthimSEC by impactology@mastodon.social
       2025-03-20T10:17:46Z
       
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       To reach this goal we must overcome or mitigate the following design challenges:  - the allure of cognitive offloading - the perception of AI infallibility - reinforcement of cognitive bias - encouragement of passive thinking- loss of domain-knowledge retention and developmentoverestimation of skills and promotion of shallow understanding- impaired ability to discern true human expertise- echo-chamber effect- psychological effect of AI output speed- isolation of AI-augmented workforces
       
 (DIR) Post #AsG2ecnw50XC7ZccS0 by impactology@mastodon.social
       2025-03-20T10:18:47Z
       
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       The rise of AI tools in UX and customer experience (CX) design highlights how these technologies can inadvertently foster the illusion of expertise.For example, UX designers might use AI-generated wireframes, personas, journey maps, or design recommendations without fully understanding the data or assumptions driving those outputs.
       
 (DIR) Post #AsG2ehUycvL8gDn35s by impactology@mastodon.social
       2025-03-20T10:19:17Z
       
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       This could result in user experiences that reinforce biases or address surface-level issues while missing deeper usability challenges.Consider a healthcare app as an example.Without domain expertise, a UX designer might overlook critical nuances such as the emotional and cognitive needs of patients and caregivers.
       
 (DIR) Post #AsG2emZPlqrQPQuACm by impactology@mastodon.social
       2025-03-20T10:19:27Z
       
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       If the designer has never spoken to real patients, he might fail to understand the cognitive impairments patients experience from physical illness, pain, fatigue, and emotional distress.Similarly, without engaging with caregivers, he might not grasp the pressures they face in balancing their lives while caring for family members.
       
 (DIR) Post #AsG2etkJ5kjUfF3See by impactology@mastodon.social
       2025-03-20T10:19:33Z
       
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       Each of these oversights presents an opportunity to innovate—to meet an unmet need that could provide a market differentiator or inspire a new product line.
       
 (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.