# data[].attributes.body
Action: run staff skills workshops

# data[].attributes.body
Gap: keeping up with changes - AI tech changes all the time!

# data[].attributes.body
Consideration: data security / procurement costs

# data[].attributes.body
Action: Embedding AI awareness into library instructions workshops

# data[].attributes.body
Action: Build a library and case studies

# data[].attributes.body
Action: Just as students have a session on transferable skills, have focused weekly/bi-weekly sessions on how it can/going to be used

# data[].attributes.body
Action: Training,workshops and ways to harness the power of AI and how to use responsibly

# data[].attributes.body
Points to consider: Safe use

# data[].attributes.body
Points to consider: Shared AI literacy Programmes

# data[].attributes.body
Points to consider: Depends on the workforce requirements

# data[].attributes.body
Points to consider: Awareness of Bias

# data[].attributes.body
Actions: Staff toolkit with experts

# data[].attributes.body
Actions: Have AI Literacy Programmes

# data[].attributes.body
Actions: Modelling to staff how AI can benefit - Applicable Examples

# data[].attributes.body
Action: Support the creation of an AI certified Programmes for FE staff

# data[].attributes.body
Actions: AI champions to deliver ongoing support and training

# data[].attributes.body
Actions: Interactive workshops - in person - a chance to explore, use + push comfort zone - collaboration

# data[].attributes.body
Actions: Relevency

# data[].attributes.body
Points to consider: IT department enabling AI services

# data[].attributes.body
Points to consider: Digital Literacy

# data[].attributes.body
Points to consider: When talking about staff don't restrict to just academic staff. Include admin staff too

# data[].attributes.body
Actions: Advice about modelling assessment

# data[].attributes.body
Actions: its ok to use for assessment as a student or teacher

# data[].attributes.body
Actions: Assements activites - Update them!

# data[].attributes.body
Actions: Embedding AI awareness in a referencing instruction

# data[].attributes.body
Action: Providing students with safe + purpose-built tools

# data[].attributes.body
Actions: Change assessments

# data[].attributes.body
Actions: Different assement methods

Professional discussion

Reflection

Journal

# data[].attributes.body
Actions: Demonstrating good use of AI - Show ways it can be used correctly reinforcing students understanding of limitations

# data[].attributes.body
Points to consider: Equity of access

# data[].attributes.body
Points to consider: What is being accessed?

# data[].attributes.body
Points to consider: Inequality gap widens

# data[].attributes.body
Actions: Give voice from FE students

# data[].attributes.body
Actions: Allowing space for students to explore AI in context

# data[].attributes.body
Actions: Habe a specific ethics policy that colleges can use

# data[].attributes.body
Actions: Being aware of age restrictions - finding ways to navigate them

# data[].attributes.body
Points to consider: Ensuring UK GDPR Complicaince

# data[].attributes.body
Points to consider: Insuring student voice in the design of AI - Student consent

# data[].attributes.body
Points to consider: Understanding the safety features and how they can be bypassed

# data[].attributes.body
Points to consider: Showcase how students and and teachers can control datasets for AI models

# data[].attributes.body
Actions: Sharing practice about small LLMs + open source LLMs

# data[].attributes.body
Actions: Have an AI procurement - ethic check list before buying AI services

# data[].attributes.body
Actions: Try and prioritise free + freemium tools tha can offer a good range fo AI capabilities

# data[].attributes.body
Poimts to consider: Digital Poverty

# data[].attributes.body
Points to consider: Knowing what to subscribe to - hard to make decisions when things are changing so quickly

# data[].attributes.body
Points to consider: Digital literacy for different students

# data[].attributes.body
Points to consider: Possibility for Jisc licensing some of the tools

# data[].attributes.body
Points to consider: Money!