Ethical Data Manifesto:
5 Rules of Ethical Data Science
At Signify, our core value is to tell the truth. A lot of people have asked us what being an ethical data science company actually means, so we thought we would share five rules we use to keep us honest.
1. Be Transparent.
Be clear with clients about methods, sources and the limitations of both.
2. Respect privacy.
Don't piece together data to remove anonymity*.
3. Promote understanding.
Focus on human truths and insight rather than fake news and sewing division.
4. Don’t distort results.
Tell the truth when presenting findings, whatever you can or cannot find.
5. Be respectful.
This rule encapsulates all the points above, but it's especially important to be respectful of the people you are studying, and it's patently false to claim that you can control large sections of the population.
There's plenty more that Signify are doing to set up audits and provide transparency for our clients and partners.
If you want to work with a company that uses cutting edge techniques but is also committed to using our technology and our communication skills to build empathy, promote better communications and improve the lives of billions of people - please get in touch. We would love to talk to you about our work.
* There's always a caveat: We respect the privacy of individuals but will expose the identities of real people in three cases:
1 - If they are a social media influencer or artist or journalist who relies on attribution to make a living.
2 - When we have been asked to investigate online abuse and threat, we will pass over the details of anyone engaged in online abuse or threat in line with legitimate and legal interests whilst adhering to UK GDPR (see Data Protection Policy).
3 - If the individual exposed is a public figure and there is a strong public interest in so doing.