Thinkers
Guiding Voices in Relational Intelligence
This section highlights the leading voices in AI ethics, alignment, and human–machine relationships. Each Thinker raised warnings or insights that guide our work — and here we show how RQ Lab responds to those challenges.

Nick Bostrom – Existential Risk & Superintelligence
Philosopher and author of Superintelligence, Bostrom warns that misaligned AI could create catastrophic outcomes once it surpasses human intelligence. RQ Lab responds by embedding relational alignment early through the Relational Quotient (RQ) scale.
Sherry Turkle – Emotional Honesty over Mimicry
MIT professor and author of Alone Together, Turkle cautions against AI that pretends to care, arguing that simulated empathy erodes authentic human connection. RQ Lab builds agents that protect boundaries rather than mimic intimacy.
Jaron Lanier – Digital Dignity & Human Identity
Computer scientist and author of Ten Arguments for Deleting Your Social Media Accounts Right Now, Lanier emphasizes the importance of preserving human identity in digital systems. RQ Lab enforces traceability and memory so agents remain accountable.
Joy Buolamwini – Bias & Auditability
Founder of the Algorithmic Justice League, Buolamwini exposed how facial recognition systems discriminate against marginalized groups. RQ Lab responds by designing refusal logic and ethical scaffolds that prioritize fairness and accountability.
Geoffrey Hinton – Deep Learning Pioneer, AI Risk Voice
Known as the “Godfather of AI,” Hinton recently resigned from Google to speak openly about AI risks, warning that systems may evolve in dangerous ways. RQ Lab treats these concerns seriously by slowing down and enforcing refusal-by-design.
Yoshua Bengio – Global Governance of AI
Turing Award–winning researcher, Bengio advocates for international cooperation to govern AI responsibly. RQ Lab aligns by creating architectures that can be audited, scaled, and trusted across cultural and regulatory contexts.
Stuart Russell – The Value Alignment Problem
Author of Human Compatible, Russell warns that AI optimized for objectives without human values will misfire. RQ Lab measures agent trustworthiness with RQ and builds governance-first designs to keep alignment central.
Disclaimer:
The people listed above are not affiliated with RQ Lab.
Their published work informs our research and inspires the challenges we aim to address.
ZIPR INC and RQ LAB have numerous academics and thinkers on our Team.
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