a platform for reducing AI hARm and Risk.
It's a guided, 135-dimension audit of your people, processes, and technologies. It's an AI-personalized Corrective Action Plan that we help you manage and execute.
It addresses how your AI Systems create harm and risk at your organization's core. (It's less scary than it sounds.)
It's a community of likeminded leaders who support one another's commitment to sustainable development.
a platform for reducing AI haRM and Risk.
It's a guided, 135-dimension audit of your people, processes, and technologies. It's an AI-personalized Corrective Action Plan that we help you manage and execute. It addresses how your AI Systems create harm and risk at your organization's core. (It's less scary than it sounds.)
It's a community of likeminded leaders who support one another's commitment to sustainable development.
Schedule a DEMO
It doesn't directly analyze your models for bias. It doesn't directly remedy explainability violations.
It equips you to build an organization that prevents those problems from Day 0.
It helps your team discover and reinforce a culture that appreciates that AI Risk never comes from AI itself; AI Risk is generated by the people and processes around AI Systems. Always has been.
To us, that's the interesting part.
Few remain wondering whether or not AI is going to be fantastically profitable. But many are wondering what we can do to prevent it from being fantastically destructive to our ecologies, economies, communities, identities, and bodies.
We believe that the sustainable stewardship of Artificial Intelligence is all of our responsibility. Case and point; its poor stewardship has already become all of our problems. As of writing of this essay, AI systems have already exacerbated our intrinsic biases; behaved inexplicably; been used to undermine human rights; and pose a growing threat to our ecology.
Software for managing AI models directly is necessary but insufficient for realizing a more just, sustainable future. The problems were never really the datasets. They were the people and processes around the datasets. Always have been.
The fundamental challenge of the widespread deployment of AI Responsibility is not a problem of technology, but a problem of hegemony and change management. Of incentivizing and aligning capital and management with a new way of doing things towards the imperative of a stakeholder-oriented world.
That's why we built The AIRL.
We created The AIRL to serve leaders who want to use AI Systems responsibly. In ways that are de-risked, profitable, and sustainable.
We create software and memes that promote AI Responsibility. Our SaaS helps organizations navigate the profitable benefits of AI Systems while mitigating the business, societal, and existential risks and harms they create.
Our customers are organizations that appreciate the incentives they’re under to nurture better relationships with the stakeholders around them. Who want to simultaneously improve the quality of their AI Systems and decrease their impact. Who want a roadmap of what they can do to ensure that their people, processes, and technologies are safer from AI Risk.
Poor stewardship of AI has already become all of our problems.
The problems were never really the DATASETS.
We create software and MEMES that promote AI responsibility.
Few remain wondering whether or not AI is going to be fantastically profitable. But many are wondering what we can do to prevent it from being fantastically destructive to our ecologies, economies, communities, identities, and bodies.
We believe that the sustainable stewardship of Artificial Intelligence is all of our responsibility. Case and point; its poor stewardship has already become all of our problems. As of writing of this essay, AI systems have already exacerbated our intrinsic biases; behaved inexplicably; been used to undermine human rights; and pose a growing threat to our ecology.
Software for managing AI models directly is necessary but insufficient for realizing a more just, sustainable future. The problems were never really the datasets. They were the people and processes around the datasets. Always have been.
The fundamental challenge of the widespread deployment of AI Responsibility is not a problem of technology, but a problem of hegemony and change management. Of incentivizing and aligning capital and management with a new way of doing things towards the imperative of a stakeholder-oriented world.
That's why we built The AIRL.
We created The AIRL to serve leaders who want to use AI Systems responsibly. In ways that are de-risked, profitable, and sustainable.
We create software and memes that promote AI Responsibility. Our SaaS helps organizations navigate the profitable benefits of AI Systems while mitigating the business, societal, and existential risks and harms they create.
Our customers are organizations that appreciate the incentives they’re under to nurture better relationships with the stakeholders around them. Who want to simultaneously improve the quality of their AI Systems and decrease their impact. Who want a roadmap of what they can do to ensure that their people, processes, and technologies are safer from AI Risk.
It doesn't directly analyze your models for bias. It doesn't automatically remedy explainability violations.
It equips you to build an organization that prevents those problems from Day 0.
It helps your team discover and reinforce a culture that appreciates that AI Risk never comes from AI itself; AI Risk is generated by the people and processes around AI Systems. Always has been.
To us, that's the interesting part.
schedule a DEMO
No job, industry, community, nor person will be untouched by its impact. As a core facet of the Fourth Industrial Revolution, it will redefine how we work, play, and pursue purposeful lives.
AI is poised to be as transformative to all human endeavors (if not more than) as electrification was a century ago.
No job, industry, community, nor person will be untouched by its impact. As a core facet of the Fourth Industrial Revolution, it will redefine how we work, play, and pursue purposeful lives.
While there are myriad fascinating technical questions we’ll inevitably overcome, there are pressing existential and societal questions we need to start discussing today. How might we - as businesses, governments, and communities - navigate the well-aligned development and use of AI?
The owners of AI technologies are poised to profit immensely from their investments. But at what costs - to themselves and to us? What risks do those who build or use AI incur? What harms do they foist on our communities and societies? How has AI already been used irresponsibly? What can we do to right wrongs; and promote more responsible development and use of AI going forward?
Our economies, profitability, jobs, civil liberties, and shared ecology is at stake. Today, we need to make decisions about the kind of future we want to build. We're here to explore these questions, provide some thoughtful answers and tools, and serves as partner to any organization that wants to be a sustainable steward of AI.
