We deliver hands-on, experiential learning experiences to help engineers, policymakers, designers, and stakeholders handle AI safety issues: bias, fairness, transparency, accountability, and justice. We focus on building internal capacity, teaching tools, and strategies to identify, interrogate and ameliorate algorithmic bias. We deliver training, education, and advising to for-profit, non-profit, academic, and government organizations.
Flight simulators are to airline safety as we are to AI safety. We help people experience and handle realistic AI safety risks in controlled, safe environments. This training equips people to handle real situations as they arise.
Training and Education
We provide hands-on training to build your organization's capacity to handle and manage algorithmic risk. The core of our methodology is experiential learning—the notion, borne out by overwhelming empirical evidence, that people learn best by doing. We deliver experiential learning exercises at all levels of technical detail, from "no-code" interactive labs to full-on coding challenges, all based on real-world incidents. W
- Tailored workshops tailored to your subject matter
- Tailored labs or coding challenges tailored to your use cases
- Needs assessment and tailored training plans
Algorithms require governance, and policymakers are looking to craft smart and effective rules and processes to amplify the upside of machine learning and artificial intelligence. We consult on policy solutions, from general to domain-specific. We synthesize knowledge from our network of experts to answer pointed policy questions.
Audits and Advising
Algorithmic auditing is increasingly mandated by law, and auditing firms have popped up. Which auditing firm is right for your particular needs? What kind of audit will you need? Is the audit you got worth the money?
We can help you strategize. We can help uncover what kind of audit or assessment you need, refer you to the right auditor for the job (if necessary), and provide second opinions on audits, quotes, findings, and recommendations.
Get smart about algorithmic bias
Build your organization's capacity to identify and ameliorate algorithmic bias. Get in touch and let us know how we can help.