named programs · 3 · from sources
What they call their work
Guiding Principles for Empathic AI
Framework of six ethical principles—Beneficence, Emotional Primacy, Scientific Legitimacy, Inclusivity, Transparency, and Consent—to steer the responsible development and deployment of AI that interprets human emotions.
Supported Use Cases Initiative
Identifies and promotes beneficial applications of empathic AI in domains such as mental health, education, communication tools, and the arts, while providing ethical guidance for developers.
Unsupported Use Cases Initiative
Highlights applications of empathic AI that pose ethical risks or potential harm, advising against their development or deployment without strict safeguards.
activities · 1 group
What they do
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AI Governance and Ethical Research 1 activity
- Convening multidisciplinary experts to develop ethical guidelines for empathic AIBrings together AI researchers, ethicists, social scientists, and legal scholars to develop ethical guidelines and best practices for empathic AI systems that interpret emotional cues. This includes ongoing collaboration to establish recommendations for the responsible development and deployment of such technologies.
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financials · form 990EZ · fy2022
revenue
Total revenue$156K
Contributions & grants$156K100%
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expenses
Total expenses$128K
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balance sheet
Total assets$38K
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Net assets$38K
2 years on record · 2021–2022 · YoY revenue +87.8%
leadership · form 990 part vii · fy2022
Who runs it
board members · 2
- DACHER KELTNER — DIRECTOR
- KRISTEN MATTHEWS — DIRECTOR
strategies · 5
How they approach the work
Named approaches extracted from this org’s sources. Where others share an approach, follow it to see the full set of orgs running it.
- Beneficence as a Threshold for AI Deployment 32 orgsmethodology: beneficenceBy requiring that AI be deployed only when its positive impacts on well-being clearly exceed its negative impacts, the organization ensures net-positive outcomes because a beneficence standard prevents justification of harm under the guise of innovation.shared approach: Interdisciplinary Integration →
- Emotional Well-Being as a Primary Design Goal 32 orgsmethodology: emotional-primacyBy designing AI systems that prioritize emotional well-being as an end in itself, rather than a means to boost engagement or sales, the organization produces more humane technology because intrinsic emotional goals align systems with authentic human needs.shared approach: Interdisciplinary Integration →
- Ethics-by-Design in AI Development 32 orgsmethodology: ethics-by-designBy embedding ethical guidelines and expert-informed recommendations into the development process, the organization ensures empathic AI produces beneficial outcomes because ethical foresight prevents harmful deployment and aligns systems with human well-being from inception.shared approach: Interdisciplinary Integration →
- Interdisciplinary Collaboration for Ethical AI 32 orgsmethodology: interdisciplinary_collaborationBy convening experts across technical, ethical, and social domains, the organization shapes the development of empathic AI because diverse expertise ensures holistic, ethically grounded outcomes that narrow disciplinary silos cannot achieve alone.shared approach: Interdisciplinary Integration →
- Scientific Legitimacy in Assessing Emotional Impact 11 orgsmethodology: scientific-legitimacyBy requiring rigorous, replicable, and inclusive research to validate claims about AI's emotional impact, the organization ensures credibility and safety because only scientifically legitimate assessments can reliably inform ethical development and policy.shared approach: Stakeholder-Centered Governance →