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Maria Alice Maia
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The Human-AI Frontier
Technology is only as effective as our ability to trust and adopt it. This category decodes the complex drivers of human behavior in the age of AI. Here, we explore the psychology behind user trust, the cognitive biases that shape our interactions with intelligent systems, and the behavioral dynamics that determine whether a new technology thrives or fails. These posts bridge insights from neuroscience, economics, and real-world projects to build a more human-centric approach to technology.
New Method: Causal Inference with Machine Learning (Advanced Topics)
Stop Asking "Did It Work?" Start Asking "WHO Did It Work For?" I see it constantly. Companies spend millions on a new training program, a...
Maria Alice Maia
Jun 303 min read
From 'Lie to Me' to Public Trust: What Neuroscience Taught Me About AI Adoption
What do users say they want? And what does their subconscious actually crave? Early in my career, I ran a project playfully named "Lie...
Maria Alice Maia
Jun 163 min read
The Ethics of a 'Nudge': A Framework for Applying Behavioral Science in AI
That last-minute travel insurance you added to your flight booking, or the premium subscription you activated during a free trial—did you...
Maria Alice Maia
Jun 93 min read
Data Lake or Data Swamp? Lessons from Building a Central Data Infrastructure
There are few initiatives that can destroy more capital with less to show for it than a poorly planned data lake. The pitch is always...
Maria Alice Maia
Jun 23 min read
Beyond the Buzzword: A Practical Look at 'Human-in-the-Loop' Governance
"Human-in-the-loop" (HITL) has become the most overused—and misunderstood—phrase in AI governance. It’s waved around like a magic wand to...
Maria Alice Maia
May 263 min read
Proactive Trust Architecture & Ethical Consent Design
That ‘I Agree’ button your customers just clicked… what did they really agree to? In the digital economy, a silent, cynical standard has...
Maria Alice Maia
May 193 min read
The 'Accountability Gap': Why AI Regulation Isn't Enough Without Strong Enforcement
The passage of the EU AI Act was a landmark achievement—a historic, continental-scale attempt to build guardrails for our most...
Maria Alice Maia
May 124 min read
Startup Playbook: How We Used Dynamic Pricing to Decode Customer Behavior at NaHora.com
Every empty seat on an airplane is a perishable good. The moment the cabin door closes, its potential value drops to zero. The central...
Maria Alice Maia
May 53 min read
The 'Algorithmic Nudge': Can AI Personalize Public Services Without Perpetuating Inequality?
The promise of AI in government is no longer a futuristic abstraction; it is a present-day reality. We are on the cusp of deploying the...
Maria Alice Maia
Apr 284 min read
What I Learned About Bias in People Analytics (And Why Governments Should Pay Attention)
More than a decade ago, when I was tasked with a Green Belt project at Ambev to build a predictive hiring model, the goal seemed clear...
Maria Alice Maia
Apr 214 min read
Is the EU AI Act Working? A Look at the Early Data on Innovation and Trust
One year in, the central debate around the EU’s landmark AI Act rages on, framed by a simple, but dangerously misleading, question: is it...
Maria Alice Maia
Apr 144 min read
A New Touchpoint and Next Steps for our Data Science Insights
Nine months ago, I started this project with a simple, urgent mission: to fix how we use data in business. We began with a deep dive into...
Maria Alice Maia
Apr 72 min read
Synthetic Controls & Beyond: Your Questions on Single-Case Causal Inference
The response to last week's post on the Synthetic Control Method was incredible. The questions flooding my inbox and past week's...
Maria Alice Maia
Mar 313 min read
Revisiting Randomized Experiments: A Comparison Point
Everyone loves to call Randomized Controlled Trials (RCTs) the “gold standard” for measuring impact. But is the gold standard always the...
Maria Alice Maia
Mar 173 min read
From Research to ROI: New Topic - Pre-Analysis Plans (PAPs) & Credibility in Causal Inference
Your consulting team just delivered a brilliant, data-driven insight that will change your strategy. But did they find the truth, or did...
Maria Alice Maia
Mar 32 min read
Tech Pros: Don't Just Report Averages, Show the Dynamic Impact of Your Changes
To every data scientist and product analyst: You launched a new feature. You ran a perfect A/B test. You found a 2% lift in engagement...
Maria Alice Maia
Feb 103 min read
Your Toughest Data Questions Answered: Live Session on Selection on Observables & RDD Basics.
Over the last few weeks, we've assembled a powerful toolkit for causal inference from observational data: Covariate Adjustment,...
Maria Alice Maia
Dec 2, 20242 min read
From Research to ROI - New Method: How to Run Surveys (Addressing Response Biases & EDE)
You just surveyed your customers, and they love your new sustainable product idea. 90% say they are willing to pay a premium for it....
Maria Alice Maia
Oct 21, 20242 min read
Your Toughest Data Questions Answered: Live Session on Causality & Data Quality.
For the past two months, we've gone deep. We've talked Causal DAGs, RCTs, SUTVA, and the failures of strategy that lead to "dashboard...
Maria Alice Maia
Oct 14, 20242 min read
Project Touchpoint: What We've Learned, What's Next.
In any good consulting project, there comes a moment to pause, review the initial findings with the client, and chart the course for...
Maria Alice Maia
Oct 7, 20242 min read
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