Table A1 Measuring scales Constructs AR...

Table A1

Measuring scales

Constructs
AR
Apart from AI developers, companies and policymakers, managers are responsible for the adverse effects of AI algorithms
Managers can do something to mitigate or even eliminate the negative impacts of AI algorithms
I am responsible for minimising the ethical dangers AI algorithms produce in the workplace
Managers have nothing to do with the arbitrariness in algorithmic processes and outcomes
I feel jointly responsible for AI algorithms' damaging consequences on people in the workplace
AC
AI bias has damning consequences at individual, organisational and societal levels
AI bias has terrible impacts on employee cohesion
AI algorithm bias worsens social justice
AI bias leads to reproduction and strengthens social prejudices
Excessive use of AI algorithm recommendations can lead to high employee inequalities
PN
Managers have the responsibility to reject AI recommendations when they appear biased
Managers have the responsibility to correct AI bias results with better alternatives
I must do something positive to combat the unintended consequences of AI bias
I am morally responsible for protecting employees
If I use fewer AI recommendations, I feel like a manager farmer
I feel morally obliged to use AI algorithm recommendations correctly and equitably
DJ
My use of AI algorithms for work roles and responsibilities is fair
I think that the extent of my dependence on AI for work decisions is fair
Overall, the outcomes produced for AI algorithms are quite fair
I feel that the decisions I make out of AI algorithms are fair
PJ
The standards set by management to supervise AI algorithms are enforced equally among all human resource managers
I treat all employees equally when applying AI algorithm recommendations
I follow different rules when using AI results to deal with different units or individuals in this organisation
I do not favour one employee over another, mainly when guiding my decision on AI outcomes
I consistently apply AI recommendations to all employees
I follow fair procedures when using AI algorithms to make a decision
OI
When someone criticises this group, it feels like a personal insult
I do not act like the typical person of this group (reversed)
I am very interested in what others think about this group
The limitations associated with this group also apply to me
When discussing this group, I usually say “we” rather than “they.”
I have several qualities typical of members of this group
The group’s successes are my successes
If a story in the media criticised this group, I would feel embarrassed
When someone praises this group, it feels like a good compliment
I act like a person in this group to a great extent
AI response
I am willing to help others who suffer from AI bias algorithm outcomes
I am willing to make alternative decisions to help others who suffer from AI algorithm bias outcomes
I am willing to make personal sacrifices to prevent the spread of AI bias consequences in the workplace

Constructs

Apart from AI developers, companies and policymakers, managers are responsible for the adverse effects of AI algorithms

Managers can do something to mitigate or even eliminate the negative impacts of AI algorithms

I am responsible for minimising the ethical dangers AI algorithms produce in the workplace

Managers have nothing to do with the arbitrariness in algorithmic processes and outcomes

I feel jointly responsible for AI algorithms' damaging consequences on people in the workplace

AI bias has damning consequences at individual, organisational and societal levels

AI bias has terrible impacts on employee cohesion

AI algorithm bias worsens social justice

AI bias leads to reproduction and strengthens social prejudices

Excessive use of AI algorithm recommendations can lead to high employee inequalities

Managers have the responsibility to reject AI recommendations when they appear biased

Managers have the responsibility to correct AI bias results with better alternatives

I must do something positive to combat the unintended consequences of AI bias

I am morally responsible for protecting employees

If I use fewer AI recommendations, I feel like a manager farmer

I feel morally obliged to use AI algorithm recommendations correctly and equitably

My use of AI algorithms for work roles and responsibilities is fair

I think that the extent of my dependence on AI for work decisions is fair

Overall, the outcomes produced for AI algorithms are quite fair

I feel that the decisions I make out of AI algorithms are fair

The standards set by management to supervise AI algorithms are enforced equally among all human resource managers

I treat all employees equally when applying AI algorithm recommendations

I follow different rules when using AI results to deal with different units or individuals in this organisation

I do not favour one employee over another, mainly when guiding my decision on AI outcomes

I consistently apply AI recommendations to all employees

I follow fair procedures when using AI algorithms to make a decision

When someone criticises this group, it feels like a personal insult

I do not act like the typical person of this group (reversed)

I am very interested in what others think about this group

The limitations associated with this group also apply to me

When discussing this group, I usually say “we” rather than “they.”

I have several qualities typical of members of this group

The group’s successes are my successes

If a story in the media criticised this group, I would feel embarrassed

When someone praises this group, it feels like a good compliment

I act like a person in this group to a great extent

AI response

I am willing to help others who suffer from AI bias algorithm outcomes

I am willing to make alternative decisions to help others who suffer from AI algorithm bias outcomes

I am willing to make personal sacrifices to prevent the spread of AI bias consequences in the workplace

Source(s): Authors own work

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