Ep 92: Appreciating the Importance of Self-Awareness to Human-AI Collaboration with Brad Topliff

About this episode

Bob Pulver talks with creative technologist and entrepreneur Brad Topliff about building more human-centered systems for the AI era. Brad reflects on his nonlinear career—from early work in design and user experience, to many years at data and analytics company TIBCO, to his latest venture, SelfActual, which helps people and teams cultivate self-awareness, strengths, and alignment. Together, Bob and Brad explore the intersections of identity, trust, data ownership, and imagination in the workplace, and how understanding ourselves better can make AI more supportive—not more invasive. The conversation bridges psychology, technology, and ethics to imagine a future of work where humans remain firmly in control of their data, choices, and growth.

Keywords

Brad Topliff, SelfActual, TIBCO, self-awareness, positive psychology, data ownership, digital identity, AI ethics, imagination, human-centric design, trust, internal mobility, talent data, distributed identity, psychological safety, future of work

Takeaways

• Self-awareness is foundational to effective teams and ethical AI use.

• Personal data about strengths and values should be owned by the individual, not the employer.

• AI can serve as a mirror and reframing tool, helping people build perspective—not replace human judgment.

• Internal mobility and growth depend on psychological safety and discretion around what employees share.

• Positive psychology and imagination can help teams align without reducing people to static personality types.

• The next era of HR tech should prioritize trust, transparency, and consent in how personal data is used.

• True human readiness for AI means combining durable human skills with thoughtful technology design.

Quotes

• “I became a translator between the arts, the engineers, and leadership—and that’s carried through everything I’ve done.”

• “When you create data about yourself, who owns it? You? Your organization? The answer matters for trust.”

• “Most people think they’re self-aware—but only about twelve percent actually are.”

• “A job interview is two people sitting across the table from each other lying. We both present what we think the other wants to hear.”

• “If you give people autonomy and psychological safety, they’ll show up more fully as themselves.”

• “In the presence of trust, you don’t need security.”

Chapters

00:03 – Welcome and Brad’s background in design, Apple roots, and TIBCO experience

05:46 – From UX to data: connecting human insight with enterprise technology

07:48 – Self-awareness, ownership of personal data, and building SelfActual

11:00 – The tension between authenticity, masking, and “bringing your whole self” to work

18:19 – Digital credentials, resumes, and rethinking candidate data ownership

23:08 – Internal mobility, verifiable credentials, and distributed identity

32:51 – Broad skills vs. specialization and the role of AI in talent matching

34:48 – Self-awareness, imagination, and positive psychology at work

46:48 – Rethinking internal mobility and autonomy for well-being and growth

49:26 – Human-centric AI readiness and the limits of automation

58:40 – Trust, security, and ownership of data in organizational AI systems

01:02:37 – Reflections on digital twins, imagination, and collective intelligence

01:08:06 – Closing thoughts and Self Actual’s human-first approach

Brad Topliff: https://www.linkedin.com/in/bradtopliff

SelfActual: https://selfactual.ai

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠