Partnership on AI (PAI) is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society. By convening diverse, international stakeholders, we seek to pool collective wisdom to make change. We are not a trade group or advocacy organization.
We develop tools, recommendations, and other resources by inviting voices from across the AI community and beyond to share insights that can be synthesized into actionable guidance. We then work to drive adoption in practice, inform public policy, and advance public understanding. Through dialogue, research, and education, PAI is addressing the most important and difficult questions concerning the future of AI.
Supporting PAI’s global community of Partners is a small team of staff members. These staffers contribute their expertise in multistakeholder facilitation, AI and sociotechnical research and development, public policy and communications, and inclusive and participatory design.
A future where Artificial Intelligence empowers humanity by contributing to a more just, equitable, and prosperous world.
Equity & Inclusion
As an independent body, PAI exists for the benefit of people and society. We empower diverse voices to participate from ideation through implementation, striving for fairness, equity, and inclusion.
Conviction & Dependability
Committed to tackling the hard questions through meaningful dialogue, research, insights, and guidance, we’re determined to maintain courage in the face of adversity, and are dedicated to facilitating effective processes that lead to significant outcomes.
Learning & Compassion
We aim to provide and participate in an unbiased process with open hearts and minds. Our work emphasizes shared learning, open dialogue, and direct communication.
Transparency & Accountability
We remove ambiguity by building a culture of cooperation, trust, and accountability so our Partners can succeed, and so everyone can understand how AI systems work.
Diligence & Excellence
Scientific rigor is at the forefront of our evidence-based approach with leading AI experts, scientists, and researchers who are engaging to produce impactful knowledge-based outputs.
PAI was founded upon six thematic pillars. These pillars represent six sets of issues where our organization sees some of the greatest risks and opportunities for AI.
Advances in AI have the potential to improve outcomes, enhance quality, and reduce costs in such safety-critical areas as healthcare and transportation. Effective and careful applications of pattern recognition, automated decision making, and robotic systems show promise for enhancing the quality of life and preventing thousands of needless deaths.
However, where AI tools are used to supplement or replace human decision-making, we must be sure that they are safe, trustworthy, and aligned with the ethics and preferences of people who are influenced by their actions.
We will pursue studies and best practices around the fielding of AI in safety-critical application areas.
Fair, Transparent, and Accountable AI
AI has the potential to provide societal value by recognizing patterns and drawing inferences from large amounts of data. Data can be harnessed to develop useful diagnostic systems and recommendation engines, and to support people in making breakthroughs in such areas as biomedicine, public health, safety, criminal justice, education, and sustainability.
While such results promise to provide real benefits, we need to be sensitive to the possibility that there are hidden assumptions and biases in data, and therefore in the systems built from that data — in addition to a wide range of other system choices which can be impacted by biases, assumptions, and limits. This can lead to actions and recommendations that replicate those biases, and have serious blind spots.
Researchers, officials, and the public should be sensitive to these possibilities and we should seek to develop methods that detect and correct those errors and biases, not replicate them. We also need to work to develop systems that can explain the rationale for inferences.
We will pursue opportunities to develop best practices around the development and fielding of fair, explainable, and accountable AI systems.
AI, Labor, and the Economy
AI advances will undoubtedly have multiple influences on the distribution of jobs and nature of work. While advances promise to inject great value into the economy, they can also be the source of disruptions as new kinds of work are created and other types of work become less needed due to automation.
Discussions are rising on the best approaches to minimizing potential disruptions, making sure that the fruits of AI advances are widely shared and competition and innovation are encouraged and not stifled. We seek to study and understand best paths forward, and play a role in this discussion.
Collaborations Between People and AI Systems
A promising area of AI is the design of systems that augment the perception, cognition, and problem-solving abilities of people. Examples include the use of AI technologies to help physicians make more timely and accurate diagnoses and assistance provided to drivers of cars to help them to avoid dangerous situations and crashes.
Opportunities for R&D and for the development of best practices on AI-human collaboration include methods that provide people with clarity about the understandings and confidence that AI systems have about situations, means for coordinating human and AI contributions to problem solving, and enabling AI systems to work with people to resolve uncertainties about human goals.
Social and Societal Influences of AI
AI advances will touch people and society in numerous ways, including potential influences on privacy, democracy, criminal justice, and human rights. For example, while technologies that personalize information and that assist people with recommendations can provide people with valuable assistance, they could also inadvertently or deliberately manipulate people and influence opinions.
We seek to promote thoughtful collaboration and open dialogue about the potential subtle and salient influences of AI on people and society.
AI and Social Good
AI offers great potential for promoting the public good, for example in the realms of education, housing, public health, and sustainability. We see great value in collaborating with public and private organizations, including academia, scientific societies, NGOs, social entrepreneurs, and interested private citizens to promote discussions and catalyze efforts to address society’s most pressing challenges.
Some of these projects may address deep societal challenges and will be moonshots – ambitious big bets that could have far-reaching impacts. Others may be creative ideas that could quickly produce positive results by harnessing AI advances.
We believe that artificial intelligence technologies hold great promise for raising the quality of people’s lives and can be leveraged to help humanity address important global challenges such as climate change, food, inequality, health, and education.
Our members believe in and endeavor to uphold the following tenets:
- Working to protect the privacy and security of individuals.
- Striving to understand and respect the interests of all parties that may be impacted by AI advances.
- Working to ensure that AI research and engineering communities remain socially responsible, sensitive, and engaged directly with the potential influences of AI technologies on wider society.
- Ensuring that AI research and technology is robust, reliable, trustworthy, and operates within secure constraints.
- Opposing development and use of AI technologies that would violate international conventions or human rights, and promoting safeguards and technologies that do no harm.