Building an Inclusive and Responsible Tech Future
Helping organizations and instituions create inclusive advanced tech and AI practices
Who We Are
Algorithmic Community Ethicists
We are a diverse group of individuals, researchers,educators, and entrepreneurs with a shared belief in human-driven technology and responsible AI.
Services
Ethical Hiring Strategies
Educational Strategic Alignment
Educational Strategic Alignment
We help companies establish ethical recruiting and hiring practices. We advise companies on ethical processes while using ethics tools, for your business.
Educational Strategic Alignment
Educational Strategic Alignment
Educational Strategic Alignment
We advise corporations, universities, schools, and nonprofit organizations write and implement policy, Code of Ethics, Ethical Frameworks, and Risk Assessments.
Ethics & Diversity Committee
Educational Strategic Alignment
Ethics & Diversity Committee
We train, develop, and advise an empowered and standing AI and ethics committee guided by a Code of Ethics and Ethical Risk Assessment.
Training & Content Creation
Pre-Audit and Audit Services
Ethics & Diversity Committee
We provide training and course material for schools, businesses, corporations, and HR departments on ethics compliance and bias awareness. View our course material here.
Pre-Audit and Audit Services
Pre-Audit and Audit Services
Pre-Audit and Audit Services
We provide pre-audit and Audit services for AI systems to identify, document, and implement compliance standards and regulatory compliance.
Cultural Alignment
Pre-Audit and Audit Services
Pre-Audit and Audit Services
We help align your program priorities with a by conducting a cultural risk management assessment to help strengthen your organizational culture and improve your ROI.
AI Policies in Higher Education & K-12
Embracing Advanced Tech is Crucial for Evolving Institutions.
- Policy Development: Crafting ethical policies for institutions.
- Education & Training: Promoting AI literacy among students, staff, and faculty.
- Integration: Maximizing benefits while mitigating risks in advanced tech application.
- Risk Management: Addressing concerns like data privacy and algorithmic bias.
- Future-Proofing: Preparing institutions for evolving technology and regulations.
Workplace Diversity
What is Diversity in AI and Why is it important?
What is AI and advanced tech diversity?
Advanced tech diversity in a involves collaborating with people of different races, genders, ethnicities, and socioeconomic backgrounds. Advanced technology can be designed to meet the needs and interests of many people by incorporating diverse perspectives.
Why Is Diversity Important?
The rapid advancements of technology has a huge social impact, and everyone' voice must be heard. Advanced tech and AI is a human driven phenominon and discrimination and inequality can result from biased AI systems.
Ethical considerations and diverse teams can spark new ideas and perspectives, resulting in more innovative and effective solutions. Diverse viewpoints help AI and advanced tech systems meet the needs and interests of more people.
Best Practices for AI Diversity
Best practices that promote inclusivity and equity are needed to achieve AI diversity. Among these practices:
- Diversity and inclusion-focused hiring.
- All AI and advanced tech developers and stakeholders receive bias awareness training.
- Collaboration with diverse communities to understand their needs and interests.
- Forming diverse teams and perspectives to broaden AI system development experiences.
- Creating a Diversity and Ethics Committee.
- Complete an annual third party, non biased risk and cultural assessment.
Our Partners and Certifications
