𝗔𝗜 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗜𝘀 𝗡𝗼𝘁 𝗢𝗻𝗲-𝗦𝗶𝘇𝗲-𝗙𝗶𝘁𝘀-𝗔𝗹𝗹
A student, faculty member, healthcare professional, engineer, manager and entrepreneur may all use AI—but they do not need the same AI programme.
Their contexts, responsibilities, risks and intended outcomes are different.
A student may use AI to understand a concept or develop a project.
A faculty member may use it to design learning activities, assessments and feedback.
A healthcare professional must consider evidence, patient safety, privacy and human judgment.
An engineer may build, deploy or operate an AI-enabled system.
A manager may use AI to analyse options, communicate decisions and improve workflows.
An entrepreneur may explore opportunities, validate ideas and design scalable solutions.
This is why effective AI capability-building must begin with the participant’s context.
The AIYING approach follows a simple principle:
Start with your context, then bring AI into the flow.
AIYING workshops can be customised for:
• Students and learners
• Faculty members and educators
• Medical and healthcare professionals
• Engineers and technology teams
• Managers and working professionals
• Entrepreneurs, companies and MSMEs
The objective is not to teach everyone the same collection of tools.
It is to help each participant use AI responsibly and effectively to accomplish outcomes that matter in their role.
If your institution or organisation needs a context-specific AI programme, DM me to schedule a discussion.
🔗 https://dastikop.blogspot.com
#AIYING #AccomplishingWithAI #PatternAI #AILiteracy #AIWorkshop #HigherEducation #FacultyDevelopment #HealthcareAI #EngineeringEducation #MSME
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