# data[].attributes.body
Start to adopt relevant use of AI and work with it to augment our roles focusing on humanistic aspects

# data[].attributes.headline
Do not be scared to try new things and fail, trial and error learning as we go. Cultivating a culture of safety 

# data[].attributes.subject
Do not be scared to try new things and fail, trial and error learning as we go. Cultivating a culture of safety 

# data[].attributes.body
Understanding more at a professional and regulatory level

# data[].attributes.body
1.) Collecting alumni and employer views and insights to show how they saw themselves impacted by AI to date, and what are their employers doing to prepare its workforce?

2.) Asking employers to help create educational content so that the settings of AI in the workplace are clearly communicated to students who plan to engage with those fields.

# data[].attributes.headline
Increase ability for staff & stakeholders to cope with change

# data[].attributes.subject
Increase ability for staff & stakeholders to cope with change

# data[].attributes.headline
Need to work with regulators. No point adopting AI within universities if awarding bodies are against its use

# data[].attributes.subject
Need to work with regulators. No point adopting AI within universities if awarding bodies are against its use

# data[].attributes.body
assessment needs to change. culture but barrier.

# data[].attributes.body
Quick, easy but thorough support for staff and student AI literacy skills

# data[].attributes.headline
Linking with employers about the change in their realm 

# data[].attributes.subject
Linking with employers about the change in their realm 

# data[].attributes.body
Enable staff

# data[].attributes.headline
AI innovators and champions in schools and directorates to deal with local contexts

# data[].attributes.subject
AI innovators and champions in schools and directorates to deal with local contexts

# data[].attributes.body
AI woven into core of curriculum

# data[].attributes.body
Transparency (staff and student use)

# data[].attributes.body
Tighter relationships with alumni, employers, and other stakeholders to influence education and assessment, as well as setting scene for contextualised future directions.

# data[].attributes.headline
Review the appropriateness and goals of current assessment methods

# data[].attributes.subject
Review the appropriateness and goals of current assessment methods

# data[].attributes.headline
Assesment approach. We need to build new assesments that harness AI from the ground up

# data[].attributes.subject
Assesment approach. We need to build new assesments that harness AI from the ground up

# data[].attributes.body
On a continuous basis

# data[].attributes.body
So much more important now that students are able to check their information

# data[].attributes.body
1.) Redefining how we assess to better target assessing abilities, not basics (e.g. essay writing)

2.) Managing expectations of students and their digital abilities.

3.) Educating on the ethics of AI to ensure that we’re learning the proper use of AI as it integrates into our lives

# data[].attributes.headline
What happens when AI is using AI-produced data for its reference data?

# data[].attributes.subject
What happens when AI is using AI-produced data for its reference data?

# data[].attributes.body
Overwhelming

# data[].attributes.body
Knowing that students have a fear of AI-related offences and academic misconduct

# data[].attributes.body
Where to begin

# data[].attributes.headline
Improving and promoting digital accessibility for diverse learners

# data[].attributes.subject
Improving and promoting digital accessibility for diverse learners

# data[].attributes.body
Where conscientious objectors sit within the debate

# data[].attributes.body
Understanding the up to date skills, knowledge and behaviours employers require

# data[].attributes.body
HE may be reacting too slowly and too negatively to prep students for the growing use of AI everywhere

# data[].attributes.headline
Not understanding the why of university, AI makes this worse

# data[].attributes.subject
Not understanding the why of university, AI makes this worse

# data[].attributes.headline
Preparing them to be adaptable and multi skill 

# data[].attributes.subject
Preparing them to be adaptable and multi skill 

# data[].attributes.headline
Setting the boundaries of acceptable use 

# data[].attributes.subject
Setting the boundaries of acceptable use 

# data[].attributes.headline
We have to teach them how to use AI to cut down on busy work to allow time for higher level creative work

# data[].attributes.subject
We have to teach them how to use AI to cut down on busy work to allow time for higher level creative work

# data[].attributes.headline
The improvement in accessibility for learners with additional needs and disabilities

# data[].attributes.subject
The improvement in accessibility for learners with additional needs and disabilities

# data[].attributes.body
We don't know what 'work' will look like for our incoming graduates, especially across sectors

# data[].attributes.headline
Complexity, VUCA world and wicked problems…

# data[].attributes.subject
Complexity, VUCA world and wicked problems…

# data[].attributes.body
Requires constant adjustments, collaborative working and creative thinking

# data[].attributes.body
Ways in which subjects are taught will need to be redefined. Linked to this are approaches to assessment

# data[].attributes.headline
The abundance of skills that learners will be required to have 

# data[].attributes.subject
The abundance of skills that learners will be required to have 

# data[].attributes.headline
AI seen as a quick solution and a short cut that removes thinking

# data[].attributes.subject
AI seen as a quick solution and a short cut that removes thinking

# data[].attributes.body
The need to redefine assessment - without really knowing what that will look like.

# data[].attributes.body
The erosion of essential cognitive skills like memory retention, analytical and critical thinking skills

# data[].attributes.headline
We dont really know where AI will be in 5 years time

# data[].attributes.subject
We dont really know where AI will be in 5 years time

# data[].attributes.body
Where to start!

# data[].attributes.body
It's a moving target

# data[].attributes.body
culture is changing and key challenge is what skills will be needed.

# data[].attributes.headline
Continually updating source information on institutional web-pages

# data[].attributes.subject
Continually updating source information on institutional web-pages

# data[].attributes.headline
Substantial savings around administrative work (cost, time)

# data[].attributes.subject
Substantial savings around administrative work (cost, time)

# data[].attributes.headline
Minimal escalation to human assistant - only 2% on table 4's case study

# data[].attributes.subject
Minimal escalation to human assistant - only 2% on table 4's case study

# data[].attributes.headline
Built-in human approval on AI email responses

# data[].attributes.subject
Built-in human approval on AI email responses

# data[].attributes.headline
AI virtual avatar patients for practical training for diagnosis

# data[].attributes.subject
AI virtual avatar patients for practical training for diagnosis

# data[].attributes.headline
Chat GPT/Power Automate for timetabling 

# data[].attributes.subject
Chat GPT/Power Automate for timetabling 