#AI Is there a value in having a global regulatory checklist / process that AI products have to pass before they can be released? If not actual regulation, how about a voluntary code of practice that could align with the EU AI Directive?
#AI Is there a value in having a global regulatory checklist / process that AI products have to pass before they can be released? If not actual regulation, how about a voluntary code of practice that could align with the EU AI Directive?
Hi Navya, I'm fascinated by this (about to submit).
Is it common for people to live stream their defense of their thesis? Never come across this before!
I follow andy stapleton. Some of this vids are good, some not so much. You have to exercise your own judgement. Isn't that the case with anything you read or view?
But... 3rd level students are using AI in very novel ways. I know students are using AI to review old exam papers, assess probability of topics arising in exams and using AI to generate novel questions with complete answers, which they then reviewed, in a group (!), all as prep for exams.
The Seven Challenges #AI offers #HigherEducation #AcademicSky #PhDSky
1. Academic Integrity
2. Assessment & Standards
3. Data Privacy & Security
4. Equity of Access
5. Skills Acquisition
6. Curricula & AI Literacy
7. Agentic Control & Governance
Did I miss anything? Mind map coming shortly.
If anyone is interested in this I can make the link available. The primary focus is on the Challenges-Problems-Solutions connections, which offers a map for anyone in Higher Education to think about how to respond to AI.
Thanks
#AI #GenAI #SORA #EU
I asked ChatGPT when will SORA be available?
It replied that EU AI regulations were slowing its roll out but that VPNs allowed you bypass this. It stated that was against OpenAI policy!
Was this unethical?
Yes, it apologized and said it would never do this again!
Share!!!
Thanks for the link James, looks very interesting.
On equity of access, consider that some students will be able to pay for premium AI product lines whilst others from economically disadvantaged backgrounds will not. That will impact gradings unless it is account for in rubrics.
#GenAI #Bias #HigherEd #Academia
7. And what did we learn?
a) Students share faster
b) Students learn faster, from each other
c) Students love short cuts
d) Only the lazy and time-short will get caught
and
e) We had to let the volunteer keep the money!
#GenAI #Bias #HigherEd #Academia
6. We asked them to decide what they had learned and here is what they reported: -
a) AI is great for getting an outline of the subject.
b) AI is biased and can easily manipulate opinion.
c) You must decide what is important.
d) Exploring with AI needs time.
#GenAI #Bias #HigherEd #Academia
5. We gave them another 2 minutes. This was risky. Another round of 'hands up' but still no winner emerged. We got the volunteer to read out what we had written on the envelope. It was controversial but ultimately the students agreed it was the key fact.
#GenAI #Bias #HigherEd #Academia
4. Within five minutes, what 140 students and various LLMs had produced was an excellent if shallow account of the event. That is impressive in terms of productivity. And of course, the money was still there to be won.
Time passed, still no winner.
#GenAI #Bias #HigherEd #Academia
3. We only gave them two minutes to complete the task. The 'correct' answer, the most salient fact about this case, was written on the envelope holding the money, held by a single volunteer. Once the time had elapse, we called for volunteer answers. Hands up.
#GenAI #Bias #HigherEd #Academia
2. We used an event with which we were both familiar and which predated all the students, i.e. it happened before they were born and on another continent. There was some coverage of it recently but nothing substantial, so they had to rely on the AI outputs...
#GenAI #Bias #HigherEd #Academia
1. We ran an experiment with about 130 first year students.
We asked them to locate the five most salient, crucial or important facts about an event and encouraged them to use any form of AI they wanted. To drive participation we put โฌ50 in an envelope...
well perhaps it depends on your current level of skills in writing? For someone addressing writing in an academic style for the first time, or someone whose first language is not English or someone why has dyslexia, LLMs can offer real benefits. A skilled writer may find it less or not helpful.
I laughed at this... because we have a current and short lived orange weather warning, which may amount to 0-10cms snow in high ground. Everything in moderation!
LLMs have some utility, for example upload your own document and ask it to identify how to improve the text for a specific context, detailing the audience and purpose. Ask it to specify its rationale for the changes offered. This provides useful feedback, that you can adopt or discard...
AI is not an IT problem! AI is a pedagogical problem... (spelling never my strong point) and it is the faculty, including but not led by IT, who need to find solutions.
Institutional change even slower than social change, unless it harnesses the power of early adopters.
#GenAI #HigherEd #Academia #AI4Good
Hi. Running a series of semi-serious experiments initially with #ChatGPT exploring the impact of AI on Higher Education. Somewhat tongue in cheek, this will be followed up by iterative experiments on the same topic. substack.com/home/post/p-...
Samuel, only dabbled with OLS and rejected it in a current PhD design (cowards!) but I am intrigued by the argument of an inherent bias within an algorithm. Can this source of bias be applied to how GenAI operates and criticisms that it generates commoditized "beige" content? Thanks.
#GenAI #HigherEd #Academia
Who are you reading on SubStack on GenAI?
Currently its Ethan Mollick, Andrew Maynard and the writers they have suggested...
Who should we be reading?
#AI4Good #Academia #HigherEd #GenAI
Question: what is the #best #platform from which to make content in multiple formats available, for example in PDFs, mindmaps and video. Is there one or do we have to keep cross linking between half a dozen? Thanks.
#GenAI #AI4Good #PhDSky #Academia #HigherEd
Prompting #12
Learn.
There is nothing worse than remembering, after a series of prompts that generated less than helpful content, that you've been down the rabbit hole before!
Have you done something like this before?
Have others?
Collaborate.
#GenAI #AI4Good #PhDSky #Academia #HigherEd
Prompting #11
Returning to the ABC rule: is it Appropriate, are you using Best Practice and are you being Critical in your thinking.
You have to look at every response to every prompt using these lenses. Sometimes you don't need to use AI!
Finally...
#GenAI #AI4Good #PhDSky #Academia #HigherEd
Prompting #10
Set clear goals and stopping points to avoid excessive refinements. Stop points are really important. We are inclined to ask open questions at the start. All good. You must start to close them, to funnel down to the topic.
#GenAI #AI4Good #PhDSky #Academia #HigherEd
Prompting #9
Test prompt variations systematically and track effects for better results.
You can use Excel to track this, putting large outputs into documents and linking to them directly, with a summary of how the results differ from past iterations.
#GenAI #AI4Good #PhDSky #Academia #HigherEd
Prompting #8
Ask for summaries and key points.
Use external tools to manage long interactions.
Use mind maps or wire frames to structure your project and outputs. Many of these platforms have share options.
#GenAI #AI4Good #PhDSky #Academia #HigherEd
Prompting #7
Use clear criteria (accuracy, coherence) and share the outputs with others for review & iterative improvement.
Prompting can be a team rather than an individual exercise. Remember to share the prompt history.