“As a society, we are entering uncharted territory — a new world in which governments, business leaders, the scientific community and citizens need to work together to define the paths that direct these technologies at improving the human condition and minimizing the risks.”

Marc Benioff, Chairman and CEO, Salesforce

Our Vision

Our moonshot goal is to build an AI social planner that learns optimal economic policies for the real world. We aim to develop more sophisticated AI policy models that meet usability requirements, such as explainability and robustness, to recommend real-world economic policies that improve social welfare.

This project seeks to scale up the AI Economist (Zheng et al., 2020). We hope to leverage reinforcement learning and machine learning techniques to develop a tool that will automate and improve tasks such as policy design, policy evaluation, and economic objective optimization, which will allow economists and policymakers to focus on the end goal: improving social welfare.

Learn More

Our Vision

Our moonshot goal is to build an AI social planner that learns optimal economic policies for the real world. We aim to develop more sophisticated AI policy models that meet usability requirements, such as explainability and robustness, to recommend real-world economic policies that improve social welfare.

This project seeks to scale up the AI Economist (Zheng et al., 2020). We hope to leverage reinforcement learning and machine learning techniques to develop a tool that will automate and improve tasks such as policy design, policy evaluation, and economic objective optimization, which will allow economists and policymakers to focus on the end goal: improving social welfare.

Learn More

Our Values

At Salesforce, our AI research is guided by five key principles of Trusted AI: responsibility, accountability, transparency, empowerment, and inclusivity. We expect all contributors to this project to commit to these same principles to ensure that we are developing and using AI responsibly, accurately and ethicallyAt Salesforce, our AI research is guided by five key principles of Trusted AI: responsibility, accountability, transparency, empowerment, and inclusivity. We expect all contributors to this project to commit to these same principles to ensure that we are developing and using AI responsibly, accurately and ethically.

Learn More

Our Commitments

Our Trusted AI principles are a key part of our research and publish process. By adhering to them we aim to foster research accountability and results which benefit everyone.

01
Multi-lateral Feedback

We will seek multilateral feedback from affected communities, civil rights groups, and advocacy organizations for underrepresented groups.

02
Fair and representative data

We will use data that is fair and representative of all groups, including minority groups, being aware of the social context that produced the data.

03
Documentation

We will provide clear documentation for public data sets and models, for example, through the use of data sheets, model cards, or appropriate alternatives.

04
Open-source

We will open-source the code used for research and any real-world policy recommendations.

05
Objective Metrics

We will evaluate economic policies against objective quantitative metrics, such as GDP, Gini Index, and others.

06
Ethical Risk Analysis

We will conduct ethical risk analyses for published work, as in Zheng et al., 2020.

07
Independence

Our recommendations should not be unduly influenced by funding partners or other financial interests and will only be made after consulting with all stakeholders.

x
We use cookies to make interactions with our websites and services easy and meaningful, to better understand how they are used and to tailor advertising. You can read more and make your cookie choices here. By continuing to use this site you are giving us your consent to do this.