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Michael Lai
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It is common for designers and consumers nowadays to talk about or refer to 'dark patterns', although it is probably the intention of the designer that makes the pattern 'dark' rather than the actually pattern itself, which is just a generic solution to a particular problem based on a set of requirements.

If we approach the issue from the opposite perspective, there are many products or services which are accredited or branded with positive credentials (like organic certified or recyclable) that consumers look for. Is this something that can be done for design?

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?

UPDATE: with the updates to WCAG guidelines to make it more user friendly (especially in WCAG 3.0), are there also ways to include them as part of an accessibility audit/criteria? Is it possible to adopt a similar style or format for ethical design practices (if not include them as part of accessibility or inclusive design practices).

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?

UPDATE: with the updates to WCAG guidelines to make it more user friendly (especially in WCAG 3.0), are there also ways to include them as part of an accessibility audit/criteria? Is it possible to adopt a similar style or format for ethical design practices (if not include them as part of accessibility or inclusive design practices).

It is common for designers and consumers nowadays to talk about or refer to 'dark patterns', although it is probably the intention of the designer that makes the pattern 'dark' rather than the actually pattern itself, which is just a generic solution to a particular problem based on a set of requirements.

If we approach the issue from the opposite perspective, there are many products or services which are accredited or branded with positive credentials (like organic certified or recyclable) that consumers look for. Is this something that can be done for design?

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?

UPDATE: with the updates to WCAG guidelines to make it more user friendly (especially in WCAG 3.0), are there also ways to include them as part of an accessibility audit/criteria? Is it possible to adopt a similar style or format for ethical design practices (if not include them as part of accessibility or inclusive design practices).

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Michael Lai
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  • 189

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?

UPDATE: with the updates to WCAG guidelines to make it more user friendly (especially in WCAG 3.0), are there also ways to include them as part of an accessibility audit/criteria? Is it possible to adopt a similar style or format for ethical design practices (if not include them as part of accessibility or inclusive design practices).

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?

UPDATE: with the updates to WCAG guidelines to make it more user friendly (especially in WCAG 3.0), are there also ways to include them as part of an accessibility audit/criteria? Is it possible to adopt a similar style or format for ethical design practices (if not include them as part of accessibility or inclusive design practices).

Source Link
Michael Lai
  • 27.7k
  • 17
  • 91
  • 189

How to document or describe an ethically designed user interface or interaction pattern?

An article written by a company involved in developing software used in research talks about the concept of "ethically designed algorithms" which can be administered by an organisation that is akin to the "FDA of Algorithms" (Andrew Tutt, 2016).

The principles of ethically designed algorithms, as described in the article, embodies the following elements:

Responsibility

Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic decision system, and designate an internal role for the person who is responsible for the timely remedy of such issues.

Explainability

Ensure that algorithmic decisions as well as any data driving those decisions can be explained to end-users and other stakeholders in non-technical terms.

Accuracy

Identify, log, and articulate sources of error and uncertainty throughout the algorithm and its data sources so that expected and worst case implications can be understood and inform mitigation procedures.

Auditability

Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use.

Fairness

Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g. race, sex, etc).

Is there anything similar that has been developed for research in similar fields (e.g. Psychology or Medical Research) that is suitable for adaptation to UX design? Or does something like this already exist and is used?