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DataEthics4All 12 Ethical Pillars
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1. Preserving Data Privacy
Preventing the Violation of Data Privacy and data mishandling by selling to third parties without consent.
2. Fair Data Processing
Making sure that the Data gathering and processing from multiple sources with the intention of combining these into a single data set for insights, trends and analysis is done fairly and without manipulation through aggregation.
3. Preventing Data Misuse
Making sure that there is no inappropriate use of data as perceived by the data subject as defined when the data was initially collected.
4. Clear Data Ownership
Clear understanding of ownership and accountability of personal identifiable information. (PII)
5. Explicit Data Consent
Making sure that there is an explicit data consent for the personal information obtained directly from a customer and both parties are fully aware of the use and benefits of that data.
6. Data Power and Control
Stopping Companies from unlimited control over personal data and on the non-transparent and uncontrolled proliferation of data transactions.
7. Data Transparency and Trust
Giving Customers control of their personal data and earning their Trust and Goodwill.
8. Data Quality Auditing
Preventing Unfair Discrimination by auditing the quality of data and making sure that the available data is representative of the whole population or phenomenon of study.
9. Interdisciplinary Algorithmic Auditing
Through Interdisciplinary Algorithmic Auditing we can detect Confirmation and other Biases in Artificial Intelligence Models and make sure there are no unwanted consequences.
10. Combating Deliberate Disinformation
Combating deliberate disinformation such as Fake News and Misleading Memes by making sure our Technology verifies the Sources of News before amplifying it.
11. Preventing Ad Technology Weaponization
Making sure that our Social Media Platforms and Ad Technologies are not being used for Political and Personal Gains.
12. Evolution of Data Ethics in Times of Crisis
Understanding the Pros and Cons of the Evolution of Data Ethics: Privacy, Consent, Transparency, etc in times of crisis.