Trustworthy AI Survey

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* 1. What is the size of your organisation?

Major Corporate > $75m

Large Corporate $50 – 75m

Medium Corporate $20 – 50m

Small Corporate $5 – 20m

Start-up < 3 years AND < $1m

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* 2. What is the nature of your role within your organisation?

C-suite executive

Director

Head of AI

Head of data or analytics

Other (please specify)

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* 3. What are the biggest data challenges your company has encountered in the process of developing or deploying AI?

Bias

Data quantity, quality or availability

Meeting compliance requirements

Lack of available talent in the workforce

Understanding appropriate governance and controls

Other (please specify)

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* 4. Does your organisation board or leadership team have access to regular industry discussion on topics related to the ethics of AI?

Yes (please specify)

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* 5. How do you feel about the amount of time your organisation is spending trying to tackle trust in AI systems?

Much too much

Somewhat too much

Slightly too much

About the right amount

Slightly too little

Somewhat too little

Much too little

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* 6. Does your organisation have any internal processes or policies to ensure that its AI development is in line with industry recommendations?

Yes, we develop internal policies which are aligned with ethical frameworks and emerging regulatory requirements

We have internal conversations on this, but we haven’t incorporated these into our internal processes yet

No, we are very early on our trustworthy AI journey

Other (please specify)

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* 7. The following six questions address each of the four most common ethical AI principles.

Human-centric AI is defined as; AI systems which are developed with well-being as an equal consideration to a systems intended function. This is achieved by ensuring outcomes empower human beings and do not diminish them, and do not infringe on fundamental rights. Do you agree?

Strongly agree

Agree

Neither agree nor disagree

Disagree

Strongly disagree

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* 8. Explicability means that algorithmic decisions and associated data lineage should be able to be explained to end-users and other stakeholders in non-technical terms. This principle is closely linked with the principle of transparency. Please choose which option better represents your views/your organisation on this principle:

Perfect explicability is impossible to attain, but we strive to ensure that the use or application of AI is undertaken in a manner that reflects the objectives of this principle as far as possible

I am not very familiar with this principle

Our organisation has practices in place to monitor and, to the extent possible, explain to those directly and indirectly affected, how algorithmic decisions are made

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* 9. AI systems must ensure people's private data is protected and kept confidential plus prevent data breaches which could cause reputational, psychological, financial, professional or other types of harm.

Strongly agree

Agree

Neither agree nor disagree

Disagree

Strongly disagree

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* 10. It is recommended that mechanisms are put in place to ensure responsibility and accountability for AI systems and their outcomes. Please choose the option which relates closest to you/your organisation?

We have internal governance and control frameworks in place for monitoring our AI processes and projects regularly

We have an external organisation auditing our processes regularly, enabling the assessment of algorithms, data and design processes

We do not currently have appropriate governance in place which clearly identifies levels of accountability for AI development, deployment or ongoing monitoring activities

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* 11. In respect to the above-mentioned accountability principle, which statement do you agree with the most?

Accountability should always remain with the AI developer

Accountability is transferred from developer to purchaser

Accountability lies with the executive decision maker

Accountability should be shared across a, b and c

Other (please specify)

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* 12. Would you say the above-mentioned principles (human-centric AI, explicability, privacy and accountability) are sufficient to ensure that AI systems are trustworthy?

Yes

No (please specify)

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* 13. Do you believe COVID-19 affected the outlook on trustworthy AI?

Yes

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* 14. Finally, would you consider joining us for an interview on this topic? Organisations involved in the interview will be acknowledged accordingly upon publication of this work.

Definitely would

Probably would

Probably would not

Definitely would not

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* 15. Please share the name of your organisation.

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* 16. Please share your email if you would like to receive an infographic of the preliminary results of this survey.

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* 17. Do you give us permission to add you to our mailing list so you can receive news about trustworthy AI, including the upcoming Trustworthy AI Asia-Pacific Summit 2021?

Yes