Mike Nedelko
Technical Product Leader with an Entrepreneurial Edge
Brisbane, Australia
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I am a CPO & Technical Product Leader with 15 years in Product Management and 6 years in executive roles in the US, Australia and Europe.
Along the way, I led and mentored some truly amazing teams,
helping them implement solid product strategies, deliver product
market fit, and navigate the complexities of business development and market expansion.
I give talks to build community and deliver clarity so that
opportunities can fall into place.
As an AI researcher, product strategist, and mentor, I’m passionate about transforming intricate technical concepts into clear, actionable strategies.
I believe that every interaction should leave you not only more
informed but also inspired to drive innovation, meaningful value and change.
Area of Expertise
Topics
Augmented AI Interactions: Enhancing Human Decision-Making Beyond Algorithmic Limits
This session explores how to design AI products that augment—rather than replace—human interaction. Drawing on findings from cognitive science, we’ll examine how System 1 (intuitive) and System 2 (analytical) thinking expose key limitations in current AI solutions. Concepts like implicit bias, coherence, attention, association, and WYSIATI ("What You See Is All There Is") show how users make decisions in ways AI struggles to support fully.
I included a short VDO pitch here: https://youtu.be/TLfcdlx0Bh4
We'll cover:
• How cognitive biases and heuristics impact decision-making and create a “solutions ceiling” for standalone AI.
• Where AI fails to align with System 1 vs. System 2 thinking—leading to poor user outcomes.
• Case studies where AI underperforms in isolation, especially in personalization, risk, and decision support.
• Innovative design approaches that integrate cognitive science, allowing AI to enhance human judgment instead of replacing it.
Anthropomorphic (human-like) trust, as a prerequisite for AI product adoption
You can also find a short VDO pitch for my proposal here: https://youtu.be/fjUtj3otD2U
Making AI products human-like isn’t optional—it’s essential for adoption. For decades, software taught users to expect full control. But with agentic AI, that model breaks. Users are no longer the sole source of input, context, or action. AI now executes complex tasks autonomously, requiring new forms of trust.
To unlock this potential, AI must feel trustworthy even in the absence of oversight. This means designing agents with consistent temperaments, transparent reasoning, and values that project predictable behavior. Deterministic interfaces fall short here—agentic AI thrives in ambiguity.
Yet many Product Managers hesitate to anthropomorphize AI, fearing blurred responsibility or unrealistic expectations. This session challenges that hesitation, showing that human-like AI is a prerequisite, not a risk.
We’ll explore product strategies, case studies, and design cues that build intuitive, human-like AI - helping users feel confident delegating work to autonomous systems.
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