DataEthics4All Member Badges are here
Exciting News: Now Members of the DataEthics4All Community can earn cool Badges and get recognized for their contribution as a writer and thought leadership content related to Data + AI Ethics current affairs and trends, being an engaged member, member anniversaries
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Exciting News: Now Members of the DataEthics4All Community can earn cool Badges and get recognized for their contribution as a writer and thought leadership content related to Data + AI Ethics current affairs and trends, being an engaged member, member anniversaries and more.
What’s more?
These special badges have been designed using the latest Generative AI tools!! We’ve created a dedicated Rewards micro website to keep a track of all your Badges.
Here’s a sneak peek into what you can earn!!

Rewards Badge
Earn this Badge for first logging into the Rewards Microsite.

Participant Badge
Earn this Badge for your first post/contribution of any type.

Member Badge
Earn this Badge for being a DataEthics4All 90 days member.

Writer Badge
Earn this Badge for completing 10 Contributions in the Community. Contributions can be Quick Posts, Articles, Question or Poll. Contributions must be meaningful, relevant, and helpful to the Community. No self promotional posts.

Author Badge
Earn the Author Badge when you complete 30 meaningful contributions in the Community.

Contributor Badge
Earn the Contributor Badge for 100 contributions. Contributions must be meaningful or will be removed and won’t be counted towards your contributing posts.

Senior Contributor Badge
Earn this Badge when you complete 200 contributions.

Platinum Contributor Badge
Earn the Platinum Contributor Badge when you complete 300 contributions to the DataEthics4All Community.

1st Year Badge
Earn this badge on your 1 Year Anniversary as a DataEthics4All Member.

2nd Year Badge
Earn this badge on your 2 Year Anniversary as a DataEthics4All Member.

3rd Year Badge
Earn this badge on your 3 Year Anniversary as a DataEthics4All Member.

4th Year Badge
Earn this badge on your 4 Year Anniversary as a DataEthics4All Member.

5th Year Badge
Earn this badge on your 5 Year Anniversary as a DataEthics4All Member.

10th Year Badge
Earn this badge on your 10 Year Anniversary as a DataEthics4All Member.
So, what are you waiting for?
Join the one of a kind DataEthics4All Community, home to Data + AI Ethics leaders from 71 Countries across the globe, contribute towards building an Ethics 1st Data + AI World and start earning cool badges to flaunt on your resume and social media!!
Harmonizing Values: How the Ethics 1st AI Score Echoes Biden’s Executive Order for Trustworthy AI
How the Ethics 1st Al Score echoes Mr. President’s Executive Order for Trustworthy Al. Let’s look at the parallels between President Biden’s Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and DataEthics4All Foundation’s Ethics
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On October 30th, 2023; President Biden released an Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
The executive order on the safe, secure, and trustworthy development and use of artificial intelligence (AI) issued by the White House on October 30, 2023, outlines a comprehensive approach to ensure that AI technologies are developed and used in a manner that respects privacy, civil rights, and American values. Here is a detailed summary of the key points:
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Purpose and Principles:
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The order emphasizes the importance of AI in enhancing the welfare of the American people, economic prosperity, and the nation’s values. It establishes principles to guide AI development and use, including lawfulness, purposefulness and inclusiveness, fairness and non-discrimination, transparency and explainability, safety and security, and interagency coordination.
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Policy and Implementation:
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The policy focuses on fostering public trust in AI through responsible and democratic values. It mandates federal agencies to lead by example in AI adoption, ensuring that AI systems are safe, secure, and operate as intended. Agencies are directed to prioritize AI applications that benefit the public and address societal challenges.
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Federal Investment in AI:
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The order calls for increased federal investment in AI research and development, particularly in areas that promise significant benefits for the public good and competitiveness. It also encourages investment in the AI workforce and education to maintain American leadership in AI innovation.
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Technical Standards and Risk Management:
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The National Institute of Standards and Technology (NIST) is tasked with creating technical standards for reliable, robust, and trustworthy AI. Agencies must also identify and mitigate risks associated with AI, including those related to privacy, civil rights, and civil liberties.
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International Engagement:
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The order promotes international cooperation on AI, aiming to align democratic values with AI governance globally. It encourages participation in international bodies and alliances to foster innovation-friendly environments that respect human rights.
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Action Plan and Roadmap:
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Agencies are required to develop an action plan for implementing the principles within 180 days of the order. They must also create a roadmap for AI research and development priorities.
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Annual Review:
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The order establishes an annual review process to assess progress on AI development and deployment across federal agencies, ensuring alignment with the principles and policies set forth.
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Coordination and Oversight:
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The National AI Initiative Office is responsible for coordinating activities across the federal government to implement the order. The National Science and Technology Council (NSTC) will oversee the strategic direction of federal AI activities.
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Public Participation:
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The order encourages agencies to engage with the public, academia, industry, and other stakeholders to inform the development of AI policies and programs.
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Regulatory Approach:
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The order outlines a regulatory approach that is risk-based and proportionate to the potential impacts of AI technologies. It calls for regulations that promote innovation while protecting public welfare.
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AI in Government Decision-Making:
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The order directs agencies to responsibly incorporate AI into government decision-making processes, ensuring that AI systems are subject to appropriate human review.
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Protection of American Technology:
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Measures are to be taken to protect American AI technologies from theft and exploitation by foreign adversaries.
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Reporting and Transparency:
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Agencies must report on their progress in implementing the principles and policies of the order, fostering transparency and accountability.
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This executive order represents a significant step in the U.S. government’s approach to AI, aiming to harness its potential while safeguarding democratic values and public trust.
Disclaimer: Generative AI tools were used to summarize this executive order.
How the Ethics 1st Al Score echoes Mr. President’s Executive Order for Trustworthy Al
Let’s look at the parallels between President Biden’s Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and DataEthics4All Foundation’s Ethics 1st AI Score.
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Commitment to Ethical Practices:
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Ethics 1st AI Score: Encourages companies to measure and demonstrate their commitment to ethical data and AI practices.
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Executive Order: Emphasizes the importance of ethical guidelines and standards for AI to ensure that development is aligned with societal values, including privacy, civil rights, and democratic principles.
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Transparency and Accountability:
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Ethics 1st AI Score: Aims to create a more transparent and accountable data and AI world by involving employees and customers in the assessment process.
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Executive Order: Includes provisions for increased transparency in AI systems and accountability for AI developers and users, especially when it comes to AI deployed in the public sector or with potential large-scale impact.
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Trust by Employees and Customers:
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Ethics 1st AI Score: Trust is a key component, with the score being partially derived from the trust that employees and customers have in a company’s AI practices.
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Executive Order: Trust in AI is crucial for public adoption and support. The order seeks to foster public trust through rigorous standards for safety and security in AI development and deployment.
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Data Governance, Privacy, and Security:
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Ethics 1st AI Score: Includes these aspects as part of the company’s AI practices that need to be assessed.
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Executive Order: Data governance, privacy, and security are central to responsible AI, and the executive order addresses these issues to protect against misuse of AI and data breaches.
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Fairness and Bias:
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Ethics 1st AI Score: Encourages companies to be evaluated on fairness and bias in their AI systems.
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Executive Order: Includes directives to mitigate bias and ensure fairness in AI applications, which is essential for equitable outcomes and civil rights protections.
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Stakeholder Engagement:
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Ethics 1st AI Score: Seeks input from stakeholders like employees and customers to assess AI practices.
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Executive Order: Calls for multi-stakeholder processes to inform AI governance, ensuring that a diverse range of perspectives are considered in policy-making.
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Building an Ethical AI Ecosystem:
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Ethics 1st AI Score: The ultimate goal is to contribute to building an ethical data and AI ecosystem.
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Executive Order: Aims to establish a foundation for an AI ecosystem that is aligned with American values and interests, promoting responsible AI development and use.
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In summary, both the Ethics 1st AI Score and President Biden’s Executive Order share common goals of ensuring that AI is developed and used in ways that are ethical, responsible, transparent, and trustworthy. They both recognize the importance of stakeholder trust and the need for a standardized approach to evaluating and communicating the ethical use of AI technologies.
Learn more about the Ethics 1st AI Score and how you can help Build an Ethics 1st Data + AI World!
Announcing 10 New Ethics 1st Data + AI Challenges: A Unique Path to Earning Volunteer Hours!
Announcing 10 New Ethics 1st Data + AI Challenges: A Unique Path to Earning Volunteer Hours! DataEthics4All Foundation is thrilled to kick off a brand-new chapter of learning, impact, and ethical exploration with our latest initiative – the Ethics 1st
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Exciting news on the horizon!
DataEthics4All Foundation is thrilled to unveil a brand-new opportunity for middle, high, and college students: a chance to participate in our Ethics 1st Data + AI Challenges.
These challenges offer a fresh perspective on learning, ethics, and digital engagement, all while allowing you to accrue valuable volunteer hours.
Embark on a Journey of Growth and Impact!
Are you ready to dive into the world of Data and AI with a strong ethical foundation?
Look no further!
Our 10 new challenges are thoughtfully designed to empower you with knowledge, ignite your creativity, and deepen your understanding of ethical considerations in technology.
What’s in Store for You?
These challenges cover a broad range of ethical themes, ensuring that your journey remains dynamic and impactful.
Whether you’re passionate about fairness in algorithms, social impact, environmental sustainability, or any other area, there’s a challenge waiting for you.
Unlock the Potential to Earn Volunteer Hours
Participating in these challenges isn’t just about personal growth—it’s an opportunity to make a meaningful contribution to society while earning volunteer hours.
Each challenge you take on can earn you up to 20 volunteer hours.
But remember, the hours are a reflection of your dedication and commitment to producing high-quality solutions.
The Challenges: Diverse, Impactful, and Ethical
These challenges span a diverse array of themes, from social impact and healthcare to fairness and environmental sustainability.
With each challenge, you’ll have the opportunity to explore real-world problems, develop creative ideas, and propose innovative solutions that prioritize ethics and responsibility.
Visit the Challenge Website
The Ethics 1st Data + AI Challenges are hosted on DataEthics4All’s Community Platform.
Head over to the Challenge Website now to see all the Challenges, Rules of Participation, Judging Criteria, Volunteer Hours and more.
Inspiration and Impact
By joining these challenges, you’re not only growing your skills but also contributing to a greater purpose.
Your efforts could lead to insightful solutions, ethical breakthroughs, and responsible data practices that positively influence our society, environment, and well-being.
Join the Movement
We invite you to embark on this transformative journey with us.
Together, let’s leverage the power of data and AI for ethical innovation, making the world a better place while earning volunteer hours that reflect your dedication.
Stay updated on the latest challenge announcements, insights, and success stories by following us on social media. Join the Ethics 1st Data + AI Challenges and be part of a community that’s shaping the future responsibly, one challenge at a time.
Join Us in Building an Ethics 1st Data + AI World!!
Upcoming Event: The State of US Privacy & AI Regulation
Want to hear directly from the people shaping the direction of US Privacy & AI Regulation at both the federal and state levels? Shilpi Agarwal and Joe O’murchadha from DataEthics4All are joined by a very exciting panel of professionals to
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The State of US Privacy & AI Regulation
Want to hear directly from the people shaping the direction of US Privacy & AI Regulation at both the federal and state levels?
If yes, please attend this special LinkedIn Live Event on August 28 at 11 am PST / 2 pm EST to get an update on “The State of US Privacy & AI Regulation.”
You will hear from
• Representative Ro Khanna — member of Congress representing Silicon Valley, author of Dignity in the Digital Age: Making Tech Work for Us All, and ranking member on the House Subcommittee on Cyber, Innovative Technologies, and Information Systems (CITI)
• Alastair Mactaggart — co-author of the California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA), founder of Californians for Consumer Privacy, and board member of the California Privacy Protection Agency (CPPA)
• Tom Kemp (moderator) — co-author of California Delete Act (Senate Bill 362), Silicon Valley-based tech entrepreneur and angel investor, and author of the book Containing Big Tech: How to Protect Our Civil Rights, Economy, and Democracy (available for order at ContainingBigTech.com)
To celebrate the launch of his book, Tom Kemp is pleased to host and organize this event that will discuss critical topics such as
• Congress’s current state of play regarding federal privacy and AI regulation.
• Updates on California privacy (regulations, enforcement, etc.) and privacy law trends in other states.
• How states are looking to better regulate data brokers.
• Balancing tech innovation with consumer protection, and how can all communities benefit in our digital economy.
If you are involved in AI, privacy, or tech in general, this is a live LinkedIn Event that you don’t want to miss! The event is 1 hour on August 28 at 11 am PST / 2 pm EST.
This event is organized by Tom Kemp with co-hosts including the DataEthics4All Foundation.
DataEthics4All Foundation is pleased to co-host this event with Tom Kemp as the Mission of our Organization is to Build an Ethics 1st Data + AI World and without the right AI Policies, we cannot do that.
So, join us in our weekly discussions of Ethics 1stᵀᴹ Live and let’s build a better AI World Together! If you’d like to be a Guest on the Show, Sponsor the Show or for Media Inquiries, please email us at [email protected]
Come, Let’s Build a Better Data + AI World Together!
Press Release: DataEthics4All Foundation Unveils the Ethics 1st AI Score, Ethics 1st AI Maturity Model Index and Ethics 1st AI Alliance
DataEthics4All Foundation Unveils the Ethics 1st AI Score, Ethics 1st AI Maturity Model Index and Ethics 1st AI Alliance
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Press Release: DataEthics4All Foundation Unveils the Ethics 1st AI Scoreᵀᴹ: A New Standard for Ethical AI Practices
DataEthics4All Foundation Unveils the Ethics 1st AI Scoreᵀᴹ: A New Standard for Ethical AI Practices
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Press Release: Shilpi Agarwal, Founder and CEO DataEthics4All Foundation to Chair AI Accelerator Institute’s Computer Vision Summit 2023 in San Jose
Shilpi Agarwal, CEO DataEthics4All Foundation to Chair Computer Vision Summit 2023 in San Jose by AI Accelerator Institute.
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PRESS RELEASE- FOR IMMEDIATE RELEASE
Shilpi Agarwal, Founder and CEO DataEthics4All Foundation to Chair AI Accelerator Institute’s Computer Vision Summit 2023 in San Jose.
April 22, 2023
Thrilled to announce that our Founder and CEO of DataEthics4All Foundation, Shilpi Agarwal will be Chairing the Computer Vision Summit 2023 in San Jose by AI Accelerator Institute.
Computer Vision Summit bridges the gap between state-of-the-art research and value-driving practical application.
Unite with 300+ peers & join the world’s largest end-user-led summit dedicated to accelerating intelligent vision technologies to production.
Explore novel applications, scalable infrastructures & cutting-edge engineering solutions:
• Learn to build a better data-engine
• Optimize your ML lifecycle
• Discover low-cost, full-stack solutions
And, discuss the leadership & project-level strategies needed to deploy and scale vision systems from the ground up, from the roadmapping to guaranteeing ROI.
Leave as a part of the AIAI community, equipped with the tools, knowledge and people required to accelerate your systems to production.
As the Chairperson and Event Partner, we have some Free Passes for the Computer Vision Summit in San Jose next week. If you’d like to attend, please reach out to the DataEthics4All Team.
Summer online STEM program for High School Students
Are you a high school student looking for an enriching and challenging summer experience that can prepare you for college and beyond? STEAM in AI College Prep Program is the only
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Are you a high school student looking for an enriching and challenging summer experience that can prepare you for college and beyond?
STEAM (Science, Technology, Engineering, Arts, and Mathematics) is an interdisciplinary approach to education that emphasizes the integration of these subjects to solve real-world problems.
The application of STEAM in AI (Artificial Intelligence) is essential because AI involves a combination of several disciplines.
1-2. Science and technology are the foundations of AI. AI is built on mathematical models and algorithms that enable machines to learn and make decisions. It also requires a thorough understanding of the underlying scientific principles, such as data structures, computational statistics, and probability.
3. Engineering is also vital in AI, as it involves designing and developing intelligent systems. Engineers are responsible for building the software and hardware infrastructure that supports AI, including the development of new AI-based applications.
4. Art and design play a crucial role in AI as well. With the growing importance of human-computer interaction, it is essential to create user-friendly interfaces that people can easily understand and interact with. Art and design also help in creating visually appealing representations of data that can be understood by non-technical stakeholders.
5. Mathematics is at the core of AI, and many of the algorithms used in AI require advanced mathematical knowledge. Linear algebra, calculus, and probability theory are just some of the mathematical concepts that are essential in AI.
Therefore, integrating STEAM in AI is essential because it allows us to develop a holistic approach to AI development.
The combination of different disciplines ensures that AI systems are not just technically sound but also meet the needs of users and stakeholders.
In addition to the traditional STEAM elements that we’ve added to our STEAM in AI College Prep Program, we’ve also added sociology, technical education, ethics, analytics and mentoring as key ingredients to our Program.
You might ask, how are sociology, technical education, ethics, analytics and mentoring important for STEAM in AI?
Sociology, technical education, ethics, analytics, and mentoring are all essential components of STEAM in AI. Here is how each of them is important:
6. Sociology: Sociology is the study of human behavior and social relationships, and it plays a vital role in AI. AI systems are designed to interact with people, and understanding human behavior and social relationships is critical in creating AI that is effective and meets the needs of users. By incorporating sociological principles in AI development, we can create systems that are more responsive to social and cultural contexts, making them more useful and acceptable to users.
7. Technical Education: Technical education provides students with the knowledge and skills necessary to develop and implement AI systems. Technical education helps students understand the underlying principles and technologies that are essential in AI development, such as computer programming, data analysis, and machine learning. Technical education also helps students learn how to apply these principles in real-world situations, making them better equipped to solve real-world problems using AI.
8. Ethics: Ethics is critical in AI development because AI systems can have significant impacts on society. Ethical considerations, such as privacy, fairness, and accountability, need to be taken into account when developing and implementing AI systems. Incorporating ethics into AI development ensures that AI systems are developed responsibly and do not cause harm to individuals or society.
9. Analytics: Analytics involves the use of data analysis to gain insights into complex systems. Analytics is critical in AI development because it helps us understand patterns and trends in data, which is essential in developing effective AI systems. By analyzing data, we can develop algorithms and models that are more accurate and reliable, making AI systems more effective.
10. Mentoring: Mentoring is essential in STEAM in AI because it provides students with the guidance and support they need to develop their skills and knowledge in AI. Mentors can provide students with insights into real-world applications of AI and help them develop practical skills that can be used in AI development. Mentoring also helps students develop critical thinking skills and learn how to work effectively in interdisciplinary teams, which is essential in AI development.
In summary, sociology, technical education, ethics, analytics, and mentoring are all critical components of STEAM in AI.
By incorporating these disciplines into AI development, we can create systems that are more effective, responsive to users’ needs, and developed responsibly.
When developing our STEAM in AI College Prep, Research and Build Experiential Learning Program, we’ve taken into consideration all of these 10 important pillars of AI:
1. Science
2. Technology
3. Engineering
4. Arts
5. Mathematics
6. Sociology
7. Technical Education
8. Ethics
9. Analytics
10. Mentoring
Making STEAM in AI College Prep Program the only…drum roll please…
Data and Artificial Intelligence Intensive for high school students that offers introduction to data science, coding, AI model building, research methodology, and tech ethics.
Developed by former Stanford and UC Berkeley Adjunct Professor, MIT Mentor $100K Entrepreneurship Competition, Data and AI Ethics Veteran from Silicon Valley.
STEAM in AI is a College Prep Intensive that matches a High School student with a Data and AI Expert for Career Mentoring and learning through a hands-on project.
High School Students get an opportunity to learn about Data Science, build an AI Model and do Research in a small cohort with a strong emphasis on Ethics by Design.
At the end of 10 Weeks, every Student will have a AI Project on Github and have their name as a contributor to the Research Paper. They will also earn a Certificate of Completion. Need-based Scholarships available.
The Program will start the Week of June 19th until Week of Aug 25.
Limited spots left in our Summer Cohort. Register Today!!
DataEthics4All Foundation and AI Accelerator Institute In Person Meetup in San Jose
Data and AI Ethics Challenge for High School Students on ChatGPT. Earn Volunteer Hours, Presidential Volunteer Service Award and more.
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Come along for face-to-face networking and have fun, as we bring this first joint event between DataEthics4All Foundation and the AI Accelerator Institute.
Meet AI and Computer Vision professionals in our San Jose community.
Make new connections, discover cutting-edge technologies & applications, and meet new people at our after work meetup ????
Leave as part of the DataEthics4All and AI Accelerator Institute Community Members, with a network of local peers alongside you.
Besides Networking, You will also get the chance to win tickets to Computer Vision Summit San Jose[April 26-27], as we bring the summit to the city once again for our biggest show yet.
You don’t want to miss this! Make sure to RSVP already today!
See you there! ????
DataEthics4All Foundation is hosting a Deeplearning.ai Pie and AI Event in San Francisco Bay Area
Data and AI Ethics Challenge for High School Students on ChatGPT. Earn Volunteer Hours, Presidential Volunteer Service Award and more.
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Pie & AI is a series of DeepLearning.AI meetups independently hosted by community groups. This event is hosted by Shilpi Agarwal and DataEthics4All Foundation. Special thanks to their support!
DataEthics4All Foundation is excited to bring this Pie & AI Meetup with the support of SAP at SAP’s Academy of Engineering in San Ramon, California.
My Journey into Tech, by DataEthics4All Foundation is designed to help High School Students explore STEAM, Data and AI Career Paths and explore how they can enter these fields through the story of Silicon Valley Techies.
Please Note: Registration for this event is for High School Students only. We have limited seating and the entire program is designed for High School Students.





