Back To Top

There are many dangers to society if data science is used without ethical considerations.

The Mission.

The Mission of the DataEthics4All Initiative is to raise awareness about the ethical use of data; to build the next generation of inclusive AI; and to be a catalyst in building a more equitable, inclusive, just and ethical society.

 

We promote a wide range of Programs, and foster a Community of 900+ Global Leaders in technology, data, ethics, and policy.

Take a look at our framework and the 12 ethical pillars of the DataEthics4All Framework 2.0, and meet some of our Academic and Institutional Partners.

 

Join us in building a responsible AI ecosystem by breaking barriers to entry and bringing cognitive diversity in tech.

Our Programs.

The-Data-Ethics-Institute
Oxford University Internship Office
DataEthics4All-100-DIET-Champions
DataEthics4All-AI-Society
DataEthics4All-Policy-Ethics-Tech-Think-Tank-Town-Hall-Meetings
The-DataEthics4All-Community
DataEthics4All-AI-Youth-Council
Ethics4NextGen AI Summit + Bootcamp + Hackathon
PET4Youth-Course1-Intro-to-Data-and-AI
DataEthics4All-FREE-STEM-Youth-Tutoring-Club-Breaking-Barriers-in-Tech

Testimonials.

Academic Partners.

Schools of our Tutors and Students

Schools of our Tutors and Students

Professional Partners.

Framework 2.0.

1. Building responsible tech with ethics woven into the fabric by design.

2. Promoting end-to-end data governance across organizations to guarantee ethical data use.

3. Ensuring cognitive diversity (demographic and functional diversity) and inclusion in human oversight for building and auditing the next generation of AI models and systems.

The 12 Ethical Pillars.

DataEthics4All-12-Ethical-Pillars

Presenting The 12 Ethical Pillars Of The DataEthics4All Framework 2.0

1. Preserving Data Privacy

Preventing the violation of data privacy and data mishandling through non-consensual sale to third parties.

2. Fair Data Processing

Ensuring that data gathering and processing from multiple sources is done fairly and without manipulation through aggregation.

Ensuring that power in data processing is applied with a clear understanding of the influence on the results and consequences on the data subjects.

Ensuring that individual data subjects are able to retain their anonymity.

3. Preventing Data Misuse

Ensuring there is no inappropriate use of data as perceived by the data subject when data was initially collected.

4. Clear Data Ownership

Advocating for clear understanding of ownership and accountability of personally identifiable information. (PII)

5. Explicit Data Consent

Ensuring there is explicit data consent for the personal information obtained directly from a customer, and that all parties are fully aware of the use and benefits of that data.

6. Data Power and Control

Preventing companies from taking unlimited control over personal data.

Preventing 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 ensuring that the available data is representative of the whole population or phenomenon of study.

9. Interdisciplinary Algorithmic Auditing

Detecting confirmation biases and other biases in Artificial Intelligence Models through Interdisciplinary Algorithmic Auditing.

10. Combating Deliberate Disinformation

Combating deliberate disinformation via fake news and misleading memes by making sure our technology verifies news sources before amplifying them.

11. Preventing Ad Technology Weaponization

Ensuring that our social media platforms and ad technologies are not being used for political and personal gain.

12. Evolution of Data Ethics in Times of Crisis

Understanding the evolution of data ethics, privacy, consent, transparency, etc., in times of crisis.

Detecting crisis-driven scams and other attacks on data-based processes.

Preventing the introduction of nefarious malware which could impact the outcome of data analysis.

The Canvas.

What are our methods to achieve this?

1. Data Ethics Advisory Council

The Data Ethics Advisory Council consists of multidisciplinary experts who provide guidance on the responsible development of data science ethics and set a strategic roadmap for DataEthics4All.

The Data Ethics Advisory Council has also authored the DataEthics4All Framework, which can be used by any organization as guiding principles to mitigate the risks of using data science unethically.

2. Engaging Industry Experts

We engage credible industry experts from various fields to understand and keep up with data science ethics best practices and trends.

3. Providing Thought Leadership

We work with informed opinion leaders and trusted sources who have the ability to move, inspire and influence.

4. Fostering Community Discussions

The DataEthics4All Community platform levels the playing field for individuals to come together and openly share their views and concerns on the subject of data science ethics and the many challenges of data compliance, governance and data privacy for businesses and consumers.

5. Conducting Market Research

We employ scientifically-led studies to enable stakeholders to be aware of trends and challenges in data ethics, and to generate solutions.

6. Enabling Learning Opportunities

DataEthics4All enables blended and connected learning which combines personal interests, supportive relationships, and opportunities.

OUR PEOPLE.

team-img
Outreach Volunteer, DataEthics4All Leadership Council
team-img
Professor and Director of the Ethics + Emerging Sciences Group at Cal Poly
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
President Emeritus, DataEthics4All AI Youth Council
team-img
President of Helia & Chief Data Officer, Havas
team-img
VP and Chief Information Security Officer, Hitachi Vantara
team-img
Founder/IP Attorney at Luminé IP Solutions
team-img
MIT Inspire CS-AI Fellowship at MIT Teaching System Lab
team-img
Chief Data Officer, TD Ameritrade
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Vice President, DataEthics4All AI Youth Council
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Data Protection Officer, Lidl US
team-img
CEO & Managing Partner, Somerset Partners
team-img
Lawyer at The Equal Justice Society
team-img
Business Director, Team Synthesis WPP
team-img
Volunteer Member, DataEthics4All Leadership Council
team-img
Corporate Strategy, Data Science & Systems Integration
team-img
Associate Dean of Engineering at San Jose State University
team-img
Program Manager at The Policing Project
team-img
Founder and Chief Data Ethics Officer, DataEthics4All and CEO, Social Strategi LLC
team-img
Enterprise Relations, DataEthics4All Leadership Council
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Member, DataEthics4All Think Tank Community
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Attorney, Police and Technology Fellow at Policing Project
team-img
Corporate Vice President, New York Life Insurance Company
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Curriculum & Programs Co-Lead, DataEthics4All AI Youth Council
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
VP & Global Chief Data Officer, GE
team-img
Assitant Dean, Office of the Dean at University of Pennsylvania School of Nursing
team-img
Member, DataEthics4All Community
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Data Science Lead at Airbnb
team-img
VP, Data & Analytics Events & Digital Offerings at Corinium Global Intelligence
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
EMEA Product Lead, Google
team-img
President, DataEthics4All AI Youth Council
team-img
Director, Chief Data and Analytics Officer Research Team at Gartner
team-img
Social Media Lead, DataEthics4All AI Youth Council
team-img
Growth Director, Cyber-Duck
team-img
Curriculum & Programs Co-Lead, DataEthics4All AI Youth Council
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Artificial Intelligence Policy Counsel, the Future of Privacy Forum
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Outreach Lead, DataEthics4All Free STEM Tutoring Program
team-img
Member, DataEthics4All Community
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Deputy Attorney General at Department of Justice
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Managing Director Infrastructure Consulting, Accenture
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Data Strategist, IBM
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Guest, DataEthics4All Live
team-img
VP of ML/AI at Zscaler
team-img
Top 100 DIET Champion 2021, DataEthics4All
team-img
Global Head, Health Economics & Outcomes Research at AbbVie | NYU Wagner School Professor

Responsible development of Ethics in Data Science.

a
DataEthics4All

JOIN US.

Keep in touch with the latest in Data Ethics, Privacy, Compliance, Governance and Social Corporate Responsibility.