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Establishing ethical design principles for 'Humanised' generative AI workplace coaches.

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Title: Establishing ethical design principles for 'Humanised' generative AI workplace coaches.
Authors: Passmore, Jonathan (AUTHOR), Olafsson, Bergsveinn (AUTHOR), Rasool, Jazz (AUTHOR), Wilson, Tara (AUTHOR)
Source: Coaching Psychologist. Dec2025, Vol. 21 Issue 1, p48-58. 11p.
Subjects: Generative artificial intelligence, Coaching psychology, Coaching of employees, Self-efficacy, Standards, Data protection
Abstract: The purpose of this conceptual paper is to explore the design principles which can be used to inform the design and deployment of AI coaching agents, an area of growing interest and activity. The paper draws on coaching psychology, AI ethics and empirical studies of AI coaching to offer seven design principles: (i) transparency and informed continuous consent, (ii) autonomy and user empowerment, (iii) privacy and data protection, (iv) fairness, (v) do no harm and beneficence, (vi) accountability and (vii) alignment. Further it argues that generative AI tools should be viewed not as agency free but as more akin to a domesticated pet and that liability for unintended negative events, such as harm to a person, should be shared between the designers, the IP holders and the AI agent. The paper aims to inform this emerging agenda for designers, organisational buyers and coaching psychologists who are considering or deploying AI workplace coaching agents. [ABSTRACT FROM AUTHOR]
Copyright of Coaching Psychologist is the property of British Psychological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Establishing ethical design principles for 'Humanised' generative AI workplace coaches.
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  Data: <searchLink fieldCode="AR" term="%22Passmore%2C+Jonathan%22">Passmore, Jonathan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Olafsson%2C+Bergsveinn%22">Olafsson, Bergsveinn</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rasool%2C+Jazz%22">Rasool, Jazz</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wilson%2C+Tara%22">Wilson, Tara</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Coaching+Psychologist%22">Coaching Psychologist</searchLink>. Dec2025, Vol. 21 Issue 1, p48-58. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Coaching+psychology%22">Coaching psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Coaching+of+employees%22">Coaching of employees</searchLink><br /><searchLink fieldCode="DE" term="%22Self-efficacy%22">Self-efficacy</searchLink><br /><searchLink fieldCode="DE" term="%22Standards%22">Standards</searchLink><br /><searchLink fieldCode="DE" term="%22Data+protection%22">Data protection</searchLink>
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  Label: Abstract
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  Data: The purpose of this conceptual paper is to explore the design principles which can be used to inform the design and deployment of AI coaching agents, an area of growing interest and activity. The paper draws on coaching psychology, AI ethics and empirical studies of AI coaching to offer seven design principles: (i) transparency and informed continuous consent, (ii) autonomy and user empowerment, (iii) privacy and data protection, (iv) fairness, (v) do no harm and beneficence, (vi) accountability and (vii) alignment. Further it argues that generative AI tools should be viewed not as agency free but as more akin to a domesticated pet and that liability for unintended negative events, such as harm to a person, should be shared between the designers, the IP holders and the AI agent. The paper aims to inform this emerging agenda for designers, organisational buyers and coaching psychologists who are considering or deploying AI workplace coaching agents. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Coaching Psychologist is the property of British Psychological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=190407526
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        Value: 10.53841/bpstcp.2025.21.1.48
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              M: 12
              Text: Dec2025
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