AIH Technology has joined with Federal and Provincial Governments, researchers and non-profit organizations on our shared mission to address the COVID-19 pandemic.

We have partnered with the University of Waterloo to develop a computer vision-guided high-throughput fever screening technology to help minimize the risks of resurgence of COVID-19. We look forward to offering our available technology stack to support the developments of solutions to help contain the damaging effect of COVID-19 on our communities.

Upholding our duty to protect privacy as we come up with technological solutions will be integral to the success of moving forward collectively as a society. We present these following privacy principles that we recommend for governments, technology partners, public health authorities, academics, employers and various service providers to consider in applying newly developed technologies to address the COVID-19 pandemic. …

With the recent breakthroughs in deep learning and computer vision, we are beginning to see Artificial Intelligence being used in applications that have once existed only in science-fiction settings. Our AI computer vision algorithm has been deployed in seniors homes to prevent seniors living with dementia from going missing; our advanced computer vision algorithm is now integrated with infrared-sensing arrays to conduct high-throughput fever detection for the purpose of preventing the spread of COVID-19.

Understanding of the legitimate concerns for AI is the key

Yet, we, collectively as a society, need to be mindful about how advanced technologies are applied appropriately. …

Facial recognition can be used ethically… Here is what we are doing:

In light of the recent news reports on Clearview AI and the practice of unauthorized scraping of social media contents, I’d like to clear the facts about AIH and our application of facial recognition technology.

AIH does not source, store, and make use of any public data, or any data that infringe on individual privacy rights, for any purpose. AIH is committed to support ethical applications of facial recognition.

We believe facial recognition, just like any cutting-edge technology, can be used for the benefit of our communities. We have deployed our algorithm in senior homes for the purpose of preventing seniors living with dementia from going missing. We are working with automated financial services providers to prevent identity frauds in large-value financial transactions. We have engaged in discussions on the application of facial recognition in victim identifications in long-term missing persons case and unidentified human remains, child pornographies and human trafficking cases. Additionally, AIH and its partners have engaged in discussions on the potential application of facial recognition in pain detections for patients who have lost communications abilities. …

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Source: Alzheimer Society of Canada, 2019; Frances et. al., 2015

More than half a million Canadians are currently living with dementia, and there are 25,000 new cases of dementia diagnosed every year. It is estimated that six in ten people living with dementia will wander away at some point and possibly become lost. Missing incidents can be life-threatening and even fatal, particularly in the cold Canadian winter. A recent study by Frances et al. 2015 showed that among 673 PWD reported missing cases, 67 were found deceased, 525 alive and the rest had unknown outcomes.

“Health care providers in community setting and care facilities usually need to take care of a group of persons living with dementia, and may not be able to monitor the location of all of them at all times. Rising rate of missing people living with dementia challenges health care providers and police forces,” says a Toronto-based front-line senior care service provider. …

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The challenges in identifying long-term missing persons

Statistics from Canadian Centre for Child Protection indicate that “more than 50,000 children are reported missing to police each year. While most are located within a short period of time, some become long-term missing child cases.”

One of the main difficulties in finding long-term missing persons, especially children and victims of human trafficking, is due to the change in facial characteristics (i.e. age progression) that may become unrecognizable even to the missing persons’ own families. …


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