Computational Thinking and AI in Law · enrolled students
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The intake survey
About ten minutes, once.
51 questions covering who you are, which AI tools you already use and how much, what you use them for inside and outside your studies, whether you generate images, video or audio — and how you currently decide whether to believe what a model tells you.
The last part matters most, and it is the part people are tempted to answer aspirationally. Answer as you actually behave. The course is built on the gap between what we think our judgment does and what it does — including ours, and including yours. A baseline that flatters the room teaches nobody anything.
Your data
The standard this course teaches, applied to this course.
Session 8 is about what happens to information you hand to someone else. It would be difficult to teach that honestly while being vague about this form, so here it is plainly.
Who sees it
Your individual answers are seen by the course team only. In class, the survey appears as aggregates across the whole cohort — never attributed to you by name.
What it's for
Planning the sessions around the room that is actually in them, and setting the baseline the course measures itself against. Several answers come back, anonymised, as live material in Sessions 1, 5 and 8.
What we don't ask
Nothing about your grades, and nothing you would not want on a screen. Where a question could be uncomfortable, it carries a “prefer not to say” option — and that option costs you nothing.
Changing your mind
You can edit every answer until the course starts, and you can ask for your responses to be deleted at any time by emailing the course team.
Responses are held on the course's own infrastructure for the duration of the cohort and its follow-up, and are not sold, shared with advertisers, or used to train a model. Your password is stored only as a salted hash, which means nobody — including the course team — can read it back.