Our Commitment to Ethical AI
Our Ethical AI Core Principles
Human Centered and Socially Beneficial
AI solutions should be designed to support human goals and objectives, with human and societal needs in mind.
Fair and Accountable
Fairness should prevail in every interaction, eliminating any type of discrimination and undesirable bias.
Explainable and Transparent
We make sure our technology is transparent and explainable; our customers control their own data & data models.
Secure and Safe
AI solutions should be implemented in a way that the data used is secure, protecting the privacy of the people.
Human Centered Automation & Ethical AI
Our goal is to develop technology grounded in how work flows through an organization, that makes humans an integral part of the long-term solution to growing data processing needs—needs that are currently beyond human capacity.
Using a human centered approach to automation, the Hyperscience Platform helps enterprise organizations and government agencies transform how they approach and prioritize work, resulting in fewer mistakes and fairer decisions and positively impacting the lives of millions of their customers.
Meet Our AI Ethics Board
Erin Millender
General Counsel
Erin serves as General Counsel at Hyperscience. She has responsibility for providing day-to-day legal and strategic advice to the Executive Leadership Team, and manages all aspects of the legal function. She has nearly 20 years’ experience counseling clients in corporate financing transactions, complex commercial litigation and intellectual property matters, and advising growth stage companies on general corporate matters. Erin holds a B.A. from the University of Pennsylvania, and a J.D. from Northwestern Pritzker University School of Law. She also serves as a member of our AI Ethics Board.
Tony Lee
Chief Technology Officer
Tony serves as Chief Technology Officer at Hyperscience, leading the Product, Design and Engineering teams. He has held senior leadership roles at Yahoo, Box, Zendesk, and Dropbox. Tony began his 25-year engineering career at NASA, where he worked on automation software for air traffic control, and later continued his research into computer network optimization. Tony worked on distributed software systems while at Vitria Technology. He later built world-class teams at Box and Zendesk, and led the development of a next generation collaboration product at Dropbox. Tony holds a PhD in Engineering, and a combined degree in Engineering and Political Science from Brown University.
Paz Macdonald
Chief Marketing Officer
Paz serves as Chief Marketing Officer at Hyperscience. She holds nearly 25 years marketing leadership and management experience from Enterprise and SaaS software companies including MongoDB, Cisco, Samsung, IBM and HP. She joined from Software AG, where as CMO, she spearheaded the company’s marketing transformation. Paz was one of the early hires at MongoDB, building and growing marketing and sales expansion for international markets. Paz holds a Professional Post-Graduate Diploma in Marketing from the Chartered Institute of Marketing, and a BSc (Hons) degree in Economics from Loughborough University.