AI & Ethics

Setting the standard for ethical AI

AI for Good Foundation is setting the standard for AI Ethics best practices in company, classroom, and policy settings.

Our work is informed by the UN Sustainable Development Goals — and the human rights they champion.

Read more below about our featured programs: The AI Ethics Audit and The AI Ethics Institute.

Ben Cox

“While it remains critical to global AI adoption to maintain cultures of open and flexible innovation, it is imperative, more so with AI than arguably any other frontier technology, to develop repeatable frameworks and processes in order to enable accountability, reproducibility, and scalability. ‘Learning’ models, by design, improve and adjust overtime, so firms looking to make AI ubiquitous across their business need to implement appropriate processes to ensure responsible adoption and applications of this tech.”
-Benjamin Cox

Ethical AI Impact Areas

Bias & Equity

We believe AI can promote equity and increase transparency and accountability in the labor market and beyond.

Data Privacy

We believe in a future where communities feel safe implementing AI with rigorous safety precautions and accountability.

Democratization

We believe that broadening access to data, infrastructure, and knowledge is critical to inclusive and scalable solutions.

Risk & Governance

We believe responsible AI governance and risk analysis are necessary for innovation and measurable SDG progress.

Bias & Equity

We believe AI can promote equity and increase transparency and accountability in the labor market and beyond.

Data Privacy

We believe in a future where communities feel safe implementing AI with rigorous safety precautions and accountability.

Democratization

We believe that broadening access to data, infrastructure, and knowledge is critical to inclusive and scalable solutions.

Risk & Governance

We believe responsible AI governance and risk analysis are necessary for innovation and measurable SDG progress.

"The ubiquity of AI will require us to answer countless ethical questions surrounding its use and control — from decreasing bias to improving transparency. We need shared frameworks that not only inform our answers to these questions, but involve more of society in deliberating them."
-Alex Leader

Bringing ethics to the forefront of business and research

The AI Ethics Audit

Become a part of our growing cohort of companies taking a lead in promoting Ethical AI. Participate in our AI for Good Ethics Audit and get your badge today:

  • Once registration is complete, our team including the AI for Good Ethics Institute, will evaluate your program and provide initial customized feedback, grade, and pathways forward.
  • Learn more on how you can work with our team to improve, build programs and internal assessments, as well as incorporate ongoing learning

Our AI Ethics Audits are provided as a service at cost. The cost is a $5,000 donation deductible to the fullest extent permitted by law. We encourage you to donate more than this in order to support our programs, such as improving equity and diversity in global labour markets, enhancing access to critical healthcare infrastructure, or mitigating the risks from increased climate variability. You may submit your registration without donating and our team will follow up with you. Additionally, if you would like to speak with us before completing the registration to learn more, please contact us at 

"The increase in automated data-driven decision-making provides a wealth of opportunities to hold everyone to higher standards than ever before, and to eradicate discrimination from our economic and social systems."
-James Hodson, CEO

Real-world perspective and expertise

The AI Ethics Institute

The AI Ethics Institute is composed of our dedicated Council for Good Members. Providing thought leadership in this new and necessary area of study, we are developing best practices on the ethical use of artificial intelligence technologies, including understanding social model bias, data privacy, risk management, governance, and more. Our best practices inform our education, policy, and research programs, as well as our relationships with corporate stakeholders. The work of The Institute contributes a strong, centered vision in the global debate around AI ethics at community, organisational, regional, national, and international levels.

AI Ethics Ambassadors

Ben Cox

Benjamin Cox

Director at H20.ai, Risk Management
Ben is a Director of Product Marketing at H2O.ai where he helps lead Responsible AI market research and thought leadership. Prior to H2O.ai, Ben held data science roles in high-profile teams at Ernst & Young, Nike, and NTT Data. Ben holds an MBA from the University of Chicago Booth School of Business, and a BS in Economics from the College of Charleston.
» LinkedIn

Aishwarya Srinivasan

AI & ML Innovation Leader at IBM, Data Privacy and Federated Learning
Aishwarya is passionate for data science and working on initiatives towards making responsible AI solutions. She is the founder of Illuminate AI, that's helping people in the community learn in cohorts and serves them with mentorship opportunities.
» LinkedIn
Brianna Vecchione

Briana Vecchione

PhD Candidate at Cornell University, Algorithmic Auditing and Social Justice
Briana is a Ph.D. student in Information Science at Cornell University, working with Solon Barocas and Karen Levy. In the past, she's spent some time working at Microsoft and Spotify. She is also an affiliate of the AI Policy and Practice initiative and Mechanism Design for Social Good. Her work is supported by a Facebook Fellowship and Google Women Techmakers scholarship.
» LinkedIn

Senthujan Sen

Research Assistant at The Hospital for Sick Children, AI Ethics and Healthcare
Senthujan is a researcher at the Hospital for Sick Children with interests in Patient reported outcomes, 3D Technology, and evaluating hospital operational workflows. He keeps a keen interest in AI governance in the healthcare landscape and is working to develop tools and policies for ethical AI and bringing an ethnographic lens to AI initiatives.
» LinkedIn

Sean Lang

Data Strategist at Altair, Embracing Regulation
Sean Lang is the founder of Future Says – an interview series where he debates the pressing trends in AI alongside some of the leading voices in the field. From his background as a Data Strategist at both Altair and Kx Systems, Sean is passionate about championing data literacy, citizen data scientists and data democratisation throughout the enterprise.
» LinkedIn

Alex Leader

Engagement Manager Luminary Labs, Democratization and Governance of AI
Alex is an innovation and strategy consultant at Luminary Labs, where he helps organizations adapt to emerging technologies and the evolving future of education and work. In previous roles, he developed technical expertise leveraging data science, natural language processing, and other artificial intelligence solutions to advance a diverse array of client goals.
» LinkedIn

Elena Glazkova

Project Manager at Superbright, Depersonalization and Community Building
Elena is a creative technologist and a researcher from Moscow, living and working in New York. With a Ph.D. in Art History and a Masters in Interactive Telecommunications, she is interested in ML's potential for politics and political science.
» LinkedIn

Priyanka Challa

Senior Analyst at Canadian Institute for Health Information, AI Ethics and Healthcare
Priyanka is a recent graduate of the Master of Health Informatics, a Vector Institute affiliated program, from the University of Toronto. She currentlys work as a Senior Analyst at CIHI in the Virtual Care Initiatives team.
» LinkedIn

Sinit Zeru

Project Lead at Tony Blair Institute, AI Ethics, An African Perspective
Sinit Zeru is a Senior Advisor at the Tony Blair Institute currently based in Ethiopia. She is an Advisor to the Ministry of Innovation & Technology, and is works on pan-African tech4development initiatives.
» LinkedIn

Dr. Sileshi Hirko

Fellow at OpenAIR, AI, Intellectual Property, and Human Rights
Dr. Sileshi Bedasie Hirko is a Queen Elizabeth II Diamond Jubilee Advanced Scholar and a Postdoctoral Fellow affiliated with University of Ottawa and Open African Innovation Research Organization (Open AIR) in Canada. Prior to his PhD in Law from University of Ottawa in Canada, Dr. Sileshi earned an LL.M from Munich Intellectual Property Law Center in Germany and LL.B from Haramaya University in Ethiopia.
» LinkedIn

AI Ethics for AI + SDG Launchpad

The work of the AI Ethics Institute informs not only the programs we offer corporate partners, but is also integral to our AI + SDG Launchpad curriculum. The AI + SDG Launchpad serves as a blueprint for single or multi-semester courses that allow students of the data-enabled sciences to engage with global challenges in the framework of UN Sustainable Development Goals in a structured and collaborative curriculum structure. 

We are expanding our curriculum to HBCUs (Historically Black Colleges and Universities), as well as creating a free online learning course so that every student has equal access to our education, regardless of race, gender, or wealth.

 Within each module of Launchpad, we offer applicable real world AI ethics topics including: 

AI Ethics and Risk Management

This section highlights key risk drivers, mitigators, and frameworks that data science practitioners should be fluent in as they drive adoption of AI systems in their companies to mitigate risks.

AI Ethics and Healthcare

AI has the opportunity to improve healthcare delivery, management, and planning. Here, we address its ethical challenges, including: privacy, regulations, transparency, inclusion and algorithmic fairness, and safety.

Algorithmic Auditing and Social Justice

This lecture highlights difficult tensions that have shaped the development of social science audits, and assesses their implications in the context of algorithmic auditing.

AI Ethics - An African Perspective

Exploring key AI ethics themes that are specific to the Sub-Saharan context incl. examples of framework policy and implementation challenges, an overview of key actors in the space and insights from those working directly on the ground.

AI, Intellectual Property, and Human Rights

The topic explores how the intersection between AI and IP is framed to advance human rights, specifically with a focus on privacy, freedom of expression and equitable access to knowledge.

Democratization and governance of AI

AI that benefits all of society will need to offer shared computing and data infrastructure to researchers, engineers, and end-users alike. This lecture explores how to make AI more accessible without entrenching harmful power asymmetries.

Data Privacy and Federated Learning

This lecture covers how federated learning can be used to help navigate this issue so organizations can derive high-value insights within the constraints of respecting privacy.

Embracing Regulation

This section takes a deep dive into the EU’s AI Act legislation of April 2021, other international regulatory drives, and what should happen next.

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