DNA Testing: Is knowing your heritage worth risking your privacy?

Consumer data is becoming a form of currency for most corporations. If it seems like every company is constantly trying to get you to share your data, it’s because they are. Data, especially when it’s connected to your specific demographic profile, is extremely valuable to companies to gain insights about a multitude of trends in order to target advertising and more. But what makes our personal genetic data so valuable? And why are we so willing to give it to genetic-testing companies?

Do we realize what personal rights we are forfeiting in the future when we eagerly dive into knowing about our past?

If data is so valuable, we should be protecting it the way we would protect our wallets, but often there is little care given to our personal data or meta-data. When genetic-testing companies exploded into the market, consumer response was huge. It felt like every one of our family members, friends, and co-workers were finding out more information about their genetic makeup and sending the kits out as gifts. All the hype and the benefit of having a deeper understanding of genetic history was enough for many people to jump on the trend without giving much thought to the risk.

“The key thing about your genetic data … it is uniquely yours. It identifies you, so if you are going to entrust it to a company, you should try to understand what the consequences are”

Jennifer King, director of consumer privacy at Stanford Law School’s Center for Internet and Society

The risk of giving so much genetic data to these companies, whether they are helping you learn more about your allergens or genetic makeup, may outweigh the benefits. One of the biggest risks with data privacy is when third parties get involved and both Ancestry and 23andMe have been investigated by the Federal Trade Commission over their third party policies.  Most of the third party sharing is able to be opted in or out, but many consumers choose to opt-in regardless of if they know what they are truly sharing.

Another large risk we take when using genetic- testing is the physical sample submission. With Nest or Alexa, often times we can delete our data and profile but how could our society regulate the destruction of our physical sample if we decide we no longer want companies to have it. The physical sample has also been something of major interest to law enforcement. This could definitely be viewed as a positive, considering the suspected Golden State Killer was identified due to a DNA partial match. This technology allowed a partial match to shrink the suspect pool from millions to one family tree.

But is law enforcement looking to these privatized genetic-testing companies a violation of our rights? Is the regulation of technologies quick enough to protect us?

Artificial Intelligence combined with the in-home healthcare testing industry could very well be the key to solving the global healthcare crisis, as discussed in previous articles at solvetheunsolveable, but data protection remains a key concern. Artificial Intelligence is allowing patients and doctors to connect to vast databases and learn more about their personal diagnoses in just moments, something that not too long ago could take months or years. However, the data harnessed could be used for the wrong reasons when in the hands of for profit organizations. When consumers opt-in to sharing their data under the guise of finding the cure to a disease, they believe they are making the world a better place but who really stands to profit from that data?

People do think they are helping the world, helping society, even though they may not as an individual benefit. But if your DNA helps develop a drug for a pharmaceutical company, there is nothing governing what they do. It could be a drug they sell at a high profit but doesn’t help the world become a better place.

Jennifer King, director of consumer privacy at Stanford Law School’s Center for Internet and Society

The lack of transparency is confusing to consumers and this is often an intentional strategy from companies in order to profit off of consumer data. Consumers should be very careful of releasing their most intimate data, their very own DNA. In the effort to learn more information about our history using our genetic data, we could be negatively impacting our future.


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Up next: Data Privacy Part Four

Artificial Intelligence: The Future of Healthcare

What’s more important to parents than the health and well being of their children? Not much, if anything. So imagine this… your child could have a disease that an Artificial Intelligence enabled iPhone app would diagnose more than a year before doctors and all you have to do to find out is take some photos. Sound too good to be true? With the power of Artificial Intelligence, alternative health care tests, such as this one for children, could literally be in your hands right now…

A post from Government Technology explains:

“CRADLE makes use of artificial intelligence to look at baby pictures taken with a flash and pick out instances of white eye. When tested on 50,000 images of 40 children, half of whom had been diagnosed with an eye disease, the technology was able to identify white eye in pictures taken up to 1.3 years before the child was diagnosed.”

This non-intrusive, ultra- convenient Artificial Intelligence enabled technology is pushing the boundaries of digital health diagnosis, and this is just one example. In addition to convenience, your data privacy is less at risk as the app analyses the photos right on your device, reducing latency and increasing privacy by not uploading to a server. This type of technology, when developed further, could be very useful to detect a variety of health issues.

In fact, there are other apps that are already utilizing AI to address a host of mental and physical health concerns. Some of these health applications range from AI chat bots programmed to treat mental health all the way to AI-enabled apps that can help women track and predict fertility. Investors are betting big on these AI-enabled health apps with millions in funding being pumped into these companies of the future.

The future of AI-enabled apps is certainly bright. Wearable tech, like FitBit or Apple Watch, when equipped with built-in Artificial Intelligence, could one day utilize personal health data to identify diseases such as cancer in the very early stages. Apple Watch is already able to use AI to identify irregular heart beats known as paroxysmal atrial fibrillation (Afib) with 97% accuracy.

Image result for healthcare cost rising

With the continuous rise of healthcare costs, for individuals and the country as a whole, consumers are looking towards AI for more affordable self-diagnostics. This is evident in more than AI health apps, but also in many at home health kits such as, EverlyWell and QuestDirect, stay tuned for our Data Privacy Series article on at home diagnostics coming soon.

Artificial Intelligence is improving the healthcare space at rapid speed and the technology is only getting better. So the question that must be posed is:


Could AI be the key to solving the $760 billion healthcare crisis?


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