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Notes for prep

Notes from speaking to panelists

I spoke to each panelist about what they want to talk about:

Caroline

Profile: Experience People Ops leader - has worked in late stage startups with large employee populations. Now working with a smaller company who is building AI IT Help Desk product. Is a ppl person there - business partner - needs to be behind the vision of the company and transform internally how ppl adopt AI

What she can talk about (notes jotted down from conversation with her):

AI performance reviews

Has seen colleagues object to someones writing improving because they’re using AI

What do you feel is acceptable here

AI note takers

Misrepresent the checking sentiment

How companies are creating space for AI adoption

Screening for skills in interviews

She has met with the head of TA at Shopify - how do they thread concept of AI throughout the organisation and demystify it

Remove the distance between tech teams and rest of team when it comes to AI - level playing field for Finance person to accelerate within their funciton like a tech person can

What she gets asked the most: how to use it in screening without bias or messing up

Giovanni

Profile: Cofounder and CEO of Humaans - HRIS that has been going for about 7-8 years. More recently have changed their approach to being an AI first HRIS. Undoubtedly had to transform his team to be AI ready, Ai forward

What he can talk about (notes jotted down from conversation with him):

AI Adoption and objections

Bias with and without AI

Historical technology advancements

Someone hired to turn on the lights in a the park.

New job titles including AI now

How do you make sure the decisions you make in product are low risk

What he gets asked the most: dealing with bias

Kolvin

Profile: partner at law firm

What he can talk about (notes jotted down from conversation with him):

Implications of adoption of AI

What do you need to do if you’re using AI for screening and recruitment to cut down on time taken

issues with compliance wiht the equality act

can inadvertently discriminate

Detail on risks and mitigation

2 broad areas

equality act

GDPR

Automated decision making is regulated (for recruitment)

Look to the future...

EU AI act if you are doing any business in the EU

impacts the use of HR systems, e.g. performance and workflow management

compliance obligations

What he gets asked the most: what trends are you seeing , what problems are people coming to you with

Quick Fire at the end

fave tool you use

biggest mistake made/misunderstanding in the early days

if you were working with a company who has v little adoption, what’s the first thing you would do tomorrow to push them forward

what else....

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