Name: Decoding AI : Navigating the ethical minefield
Uploaded: 2024-04-05T14:49:05.989Z
Duration: 209.08
Description: When incorporating AI into your HR processes, it's essential to conduct various checks to ensure ethical practices are maintained. Join Frederik Haentjens, an expert in Human Capital & Organisational Transformation, as he offers practical tips on integrating AI without compromising your company's values.

Frederik ethic v2.mp4

Frederik ethic v2.vtt

English

{{00:00:05}}
Talking about AI and ethics, it's really
important to start with, definitely there

{{00:00:10}}
is bias in the algorithms, gender bias
as well as bias in terms of ethnics.

{{00:00:17}}
Second, there is also
bias in terms of the data.

{{00:00:20}}
Particularl we need to make sure
that data privacy is in place.

{{00:00:25}}
And also, we need to keep in mind
of sensitive information that

{{00:00:30}}
people don't want to talk about
or don't like to see shared as

{{00:00:33}}
an organisation or an individual.

{{00:00:40}}
It's important that HR works together
with the IT team and the audit team to

{{00:00:44}}
make sure that the processes and the
systems used are monitored on a regular

{{00:00:48}}
basis and make sure of course that you
test the responses and the way Ai is

{{00:00:53}}
dealing with your data is also ethical.

{{00:00:56}}
We can ensure that the data that
is collected is being also secured

{{00:01:01}}
and the privacy is also respected.

{{00:01:04}}
On another hand, it's also important
that,  we have human interventions or

{{00:01:09}}
ad hoc human interventions to see if the
outcomes would be the same, if it would

{{00:01:14}}
be done by a human being instead of AI.

{{00:01:16}}
I think we need to consider AI
as an addition or an  augmented

{{00:01:22}}
part of our human work.

{{00:01:24}}
Also when it comes to ethics,
governance and privacy, when it

{{00:01:29}}
comes to more complex human sensitive
where interaction with humans play an

{{00:01:34}}
important role, the emotional part.

{{00:01:36}}
It's important to keep in mind that
also that should remain human, but even

{{00:01:41}}
for routine processes, it's important
that the sign off is done by a human.

{{00:01:45}}
So job descriptions, you want
AI to write a job description?

{{00:01:48}}
Sure.

{{00:01:49}}
Why not?

{{00:01:49}}
But make sure a human validates
and signs off on that.

{{00:01:57}}
Looking at the future and AI
and ethics, this goes both ways.

{{00:02:01}}
First of all, organisations have
to prepare themselves from a policy

{{00:02:04}}
and governance perspective and how
AI can be part of the organisation.

{{00:02:09}}
Not have to wait for regulations
outside or bylaws and laws.

{{00:02:13}}
But also, we will see in the
future, organisations will also

{{00:02:16}}
have to be complying with written
upcoming regulations that come from

{{00:02:22}}
governments,  and other institutions
and authorities looking after AI.

{{00:02:27}}
So I would say it's hand in hand where
external bylaws, laws, and regulations

{{00:02:31}}
will more and more come into place, which
will be guidelines for companies, as well

{{00:02:35}}
as the same time their own regulations
policies that you build within the

{{00:02:39}}
organisation we don't have to wait for
that we can start already thinking about

{{00:02:43}}
it and writing them and implementing them.

{{00:02:51}}
We make sure that there is clear
communication expectations towards

{{00:02:54}}
the employees, but also expectations
to what AI can and can do.

{{00:02:58}}
Putting some limitations to the AI is a
good starting point to see how it goes.

{{00:03:03}}
and builds trust into the use
of AI within your organisation.

{{00:03:07}}
Make sure that AI is seen as a tool
or a system or an addition to your

{{00:03:13}}
existing processes and systems and
adds value to the workforce, adds value

{{00:03:18}}
to organisation before you want to
show value to the rest of the world.

Talking about AI and ethics, it's really
important to start with, definitely there

is bias in the algorithms, gender bias
as well as bias in terms of ethnics.

Second, there is also
bias in terms of the data.

Particularl we need to make sure
that data privacy is in place.

And also, we need to keep in mind
of sensitive information that

people don't want to talk about
or don't like to see shared as

It's important that HR works together
with the IT team and the audit team to

make sure that the processes and the
systems used are monitored on a regular

basis and make sure of course that you
test the responses and the way Ai is

We can ensure that the data that
is collected is being also secured

On another hand, it's also important
that,  we have human interventions or

ad hoc human interventions to see if the
outcomes would be the same, if it would

I think we need to consider AI
as an addition or an  augmented

Also when it comes to ethics,
governance and privacy, when it

comes to more complex human sensitive
where interaction with humans play an

It's important to keep in mind that
also that should remain human, but even

for routine processes, it's important
that the sign off is done by a human.

So job descriptions, you want
AI to write a job description?

But make sure a human validates
and signs off on that.

Looking at the future and AI
and ethics, this goes both ways.

First of all, organisations have
to prepare themselves from a policy

and governance perspective and how
AI can be part of the organisation.

Not have to wait for regulations
outside or bylaws and laws.

But also, we will see in the
future, organisations will also

have to be complying with written
upcoming regulations that come from

governments,  and other institutions
and authorities looking after AI.

So I would say it's hand in hand where
external bylaws, laws, and regulations

will more and more come into place, which
will be guidelines for companies, as well

as the same time their own regulations
policies that you build within the

organisation we don't have to wait for
that we can start already thinking about

it and writing them and implementing them.

We make sure that there is clear
communication expectations towards

the employees, but also expectations
to what AI can and can do.

Putting some limitations to the AI is a
good starting point to see how it goes.

and builds trust into the use
of AI within your organisation.

Make sure that AI is seen as a tool
or a system or an addition to your

existing processes and systems and
adds value to the workforce, adds value

to organisation before you want to
show value to the rest of the world.

Decoding AI

Expert Insight

When incorporating AI into your HR processes, it's essential to conduct various checks to ensure ethical practices are maintained. 

Join Frederik Haentjens, an expert in Human Capital & Organisational Transformation, as he offers practical tips on integrating AI without compromising your company's values.

Future of Work

AI in HR

AI & ML

Technology

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Frederik Haentjens

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