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Artificial Inteligence Predictive Survey

Fill in the form below to participate in our survey.
Section 1

In which industry does your organisation operate?

Technology, Media, Telecom: Tech, Media, Entertainment, Mobile/Internet, Software
Health: Insurers, Healthcare providers, Pharmaceutical companies
Financial services: Banking, Personal Insurance, Investments
Energy: Power and Utilities, and Mining
Industrial Products: Aerospace and Defence, Automotive, Chemicals, Engineering and Construction, Forest Paper and Packaging, Industrial Manufacturing, and Metals
Travel, Transport and Logistics
Government
Professional Services
Not For Profit
Education

In which region(s) does your organisation operate?

Americas
Asia-Pacific
Asia, Middle East and Africa
Europe
We are a global organisation

Which country or countries in particular?

Which business function do you belong to?

Finance
Customer Service
Human Resources
Information Technology
Legal, Risk, Compliance
Marketing
Operations
Sales
Other
Section 2

What is your title?

If your exact title is not here please select the closest from the list
Partner/Principal
President
C-Level Executive
EVP/SVP
VP/Assistant VP
Director
Senior Manager
Manager
Other

What was the approximate revenue of your organisation in the past financial year?

< $50M
$50M - $250M
$250M - $500M
$500M - $1B
$1B - $5B
> $5B

Please indicate the approximate total number of employees that your organisation has in its workforce

Less than 1,000 employees
Between 1,000 and 9,999 employees
Between 10,000 and 19,999 employees
Between 20,000 and 49,999 employees
Between 50,000 and 99,999 employees
More than 100,000 employees
AI use 1

Currently, do you think there are clear applications for the use of AI in your organisation?

No
Somewhat
Definitely

To what extent is your organisation looking to integrate AI technologies into its operations?

We don't use AI currently but are looking into it
We have tested a few proof of concepts with limited success
We have a few promising proof of concepts and are looking to scale
We have started implementing limited AI use cases
We have processes fully enabled by AI with widespread adoption

How are investment decisions in technology, such as AI, made in your organisation?

On an adhoc basis
Investment decision follow the normal process but are not coordinated across the business
Investment decisions are made at the business unit level
Investment is coordinated at the organisation level
We have an AI business/investment strategy
AI use 2

When it comes to making decisions around this type of technology is your organisation likely to be more focussed on rapid innovation or concerned with possible risks?

Rapid innovation
An even balance
Risk concerns

Currently, do you think your organisation could reliably deploy AI solutions/applications at scale?

Not at all
To a limited degree
Enough
Reasonably well
Definitely

What do you see as the 5 most likely inhibitors for your organisation when it comes to AI adoption?

Lack of understanding of how AI models/applications make decisions
Inadequate technology infrastructure
Skills mismatch/lack of talent
Concerns with privacy
Insufficient/not usable data
Concerns with interoperability
Inadequate Security
Takes too long to demonstrate value
Ethical concerns
Lack of AI-specific controls
Lack of AI-related governance/process owners
Lack of sufficient data management policies/protocols
Budget constraints
Lack of appropriate governance structures/frameworks
Legal concerns
Lack of trust of AI within the organisation
Lack of transparency across the organisation
AI strategy 1

While shaping your corporate strategy do you consider/have you considered how AI can be used to achieve your business objectives?

Yes
No
Our corporate strategy is compatible with the use and adoption of AI but does not specifically reference it

Do you think the use of AI is in line with your organisation's values?

I haven't considered it
I have considered it, but I'm not sure if it aligned
I think it is aligned with our values

Does/would your organisation take specific account of ethical considerations relating to the use of AI (namely the application of the organisation's agreed moral principles to the business process involved) before investing in an AI solution?

Unsure
Enough for our purposes
Definitely a primary focus
AI strategy 2

Below is a list of ethical principles/considerations that organisations may need to take into account when making decisions about using AI solutions/applications.

Please indicate which are of MOST interest/concern/relevance to you (please select at least 3)?
Fairness - do AI solutions discriminate or reflect systemic biases?
Reliability, Robustness and Security - are AI solutions robust in the handling of errors and secure against cyber attacks?
Interpretability - can AI solutions explain their decision-making processes and outcomes in a clear and comprehensible manner?
Accountability - are clear responsibilities defined across the stakeholder for every AI solution?
Human Agency - is the degree of human intervention over AI solutions dictated by the level of severity of perceived risks ?
Beneficial AI - do AI solutions promote common good?
Lawfulness & Compliance - are AI solutions designed and behave in accordance with the law and all relevant regulatory regimes?
Data Privacy - is the development and use of AI solutions respecting users' right to manage their data?
AI risk 1

Currently, how do you think AI risks would be/are identified in your organisation?

No formal approach to AI risk evaluation
Scattered silo based approach to AI risk
Strategy and policies to tackle AI risk are in place and communicated
An enterprise approach to AI risk has been developed, communicated and standardised
AI risk management and internal controls are fully embedded and automated

Currently, how do you think AI accountability would be/is identified in your organisation?

We do not have any clearly-defined process for identifying AI accountability
The developer or the person who approved the application/model for release is ultimately accountable
We have an informal review process that is triggered if there is an incident
We have a formal, documented review process that is triggered if an incident occurs
We are completely transparent about the boundaries of accountability for all stakeholders and gather/publish documented evidence to support this transparency

As a representative of your organisation, are you confident you could clearly articulate the cause if your organisation's AI made an incorrect decision or did something unexpected?

I'm unsure if I could/I would have to ask
Somewhat
Enough
Definitely
AI risk 2

As an organisation how do/would you address ethical issues that arise from using AI?

I don't know
This doesn't really apply to our use of AI
We strongly encourage ethical practices but do not have formal policies or procedures around AI ethics
We have some ethical policies that relate to business practices
As an organisation we have an ethical framework which refers to data/AI usage
We have an ethical framework for AI development and use which are embedded in our policies and procedures

Currently, how confident are you in your organisation's ability to detect, then shut down a malfunctioning AI system in a timely manner i.e. before any serious problems are caused?

Not at all
Somewhat
Enough
Very

As a representative of your organisation, are you confident you could clearly articulate the cause if your organisation's AI made an incorrect decision or did something unexpected?

I'm unsure if I could/I would have to ask
Somewhat
Enough
Definitely
Conclusion

If you were to engage with Predictive Analytics to help you gain assurance that your organisation was producing/deploying AI solutions in the most appropriate, responsible manner, could you share your data/models/code in the following ways?

Let Predictive Analytics have a copy of your data/models/code (i.e. extract it to their environment)
Yes
No
I'm unsure
Expose an API for Predictive Analytics to access your data/models/code (i.e. let them access, but not store/keep, your data)
Yes
No
I'm unsure
Let Predictive Analytics have access to your cloud environment to interrogate your data/models/code (i.e. provide them with access to your cloud environment)
Yes
No
I'm unsure
Allow Predictive Analytics access your data/models/code only when on your premises
Yes
No
I'm unsure

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