Canada uses AI to track suicide risk

Examples

Date

2nd January 2018

In February 2018 the Canadian government announced a three-month pilot partnership with the artificial intelligence company Advanced Symbolics to monitor social media posts with a view to predicting rises in regional suicide risk. Advanced Symbolics will look for trends by analysing posts from 160,000 social media accounts; the results are intended to aid the Canadian government in allocating mental health resources. The company claims to be able to predict suicidal ideation, behaviours, and communications. The Canadian government has the option of extending the pilot, which will cost just under $25,000, for up to five one-year extensions at a total cost of $400,000.

https://www.engadget.com/amp/2018/01/02/canada-track-suicide-risk-social-media-ai/?__twitter_impression=true%20socmint

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Behavioural analysis

Beyond user control

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Examples of Abuse

What PI is calling for

People must know what data is generated and processed

People must be able to know what data is being generated by devices, the networks and platforms we use, and the infrastructure within which devices become embedded. People should be able to know and ultimately determine the manner of processing.

Data should be protected

Data should be protected from access by persons who are not the user.

Limit data analysis by design

As nearly every human interaction now generates some form of data, systems should be designed to limit the invasiveness of data analysis by all parties in the transaction and networking.

Control over intelligence

Individuals should have control over the data generated about their activities, conduct, devices, and interactions, and be able to determine who is gaining this intelligence and how it is to be used.

Identities under our control

Individuals must be able to selectively disclose their identity, generate new identities, pseudonyms, and/or remain anonymous.

We should know all our data and profiles

Individuals need to have full insight into their profiles. This includes full access to derived, inferred and predicted data about them.

We may challenge consequential decisions

Individuals should be able to know about, understand, question and challenge consequential decisions that are made about them and their environment. This means that controllers too should have an insight into and control over this processing.