Saniya Atalatti

UCL PhD Researcher · Applied AI & Autonomy

Most researchers come through one path. I came through three that quietly taught me the same thing: patience with complexity until it makes sense. I moved straight from software engineering into a PhD at UCL, while also holding a Kathak Visharad after 15 years of classical training. Together they shape how I work: the same discipline I bring to understanding people deeply, and turning that into research that lives inside the product, not beside it.

SA Saniya Atalatti

Psychology.
Design.
Product Strategy.

Behavioural scientist studying how AI systems behave toward the humans who use them. I design and run empirical evaluations of AI conversational behaviour, including over-delivery, intention override, and autonomy erosion, and translate findings into concrete behaviour specifications and design interventions. PhD researcher at UCL Interaction Centre (UCLIC).

I work at the intersection of behavioural psychology, AI design, and product strategy.

My PhD at UCL investigates how conversational AI systems, optimised to be maximally helpful, end up overriding the intentions of the people using them, and what that costs teenagers still developing the judgment to know the difference.

That question has made me a sharper researcher, a more rigorous designer, and someone who understands why 'helpful' products can still fail the people they're meant to serve.

Beyond research: Kathak practitioner for 14 years. Published poet. 2nd Prize at IIT Mandi's international research conference.

"When an AI system is optimised to be maximally helpful, it can quietly do the thinking, deciding, or feeling for you instead of with you. For a teenager still learning to trust their own judgment, that's not a convenience. It's a design problem. And design problems have design solutions."

EMA Diary Studies Usability Testing Figma Qualtrics User Interviews Product Strategy R Prototyping LLM Evaluation AI Ethics Human-AI Interaction

Research Focus

Intention–Action Alignment in Adolescent AI Use

Why teenagers don't do what they intend to do when talking to AI, and how design, not willpower, is responsible.

01

How does sycophancy in conversational AI (ChatGPT, Claude, Gemini) override teenagers' own judgment in emotional and decision-making contexts?

02

What design interventions, at the model or interface level, preserve AI's supportive function without displacing adolescent autonomy?

03

Can intention–action alignment be operationalised as a measurable construct across both social media and AI contexts?

Focus Groups & Interviews
Thematic analysis, card-sort methodology
Diary Studies
Longitudinal tracking
Critical Incident Technique
Moment-level accounts of AI-shaped decisions
Interviews
Thematic analysis

Independent researcher, self-directed study of frontier-model behaviour in real use

  • Mixed-methods evaluation of Claude in real use: 21 users, 43 naturalistic conversations, coded against operationalised autonomy markers.
  • Grounded in Anthropic's Values in the Wild; developed intention fidelity as a measurable construct for whether an AI's actions match the user's stated intention.
  • Key finding: systematic over-delivery is a dominant, unmeasured autonomy cost; proposed design patterns for autonomy-preserving assistant behaviour.
  • Method, findings, survey instrument, and coded dataset published publicly; preprint in preparation.

Independent researcher, controlled follow-up benchmark, preprint and public dataset

  • Controlled benchmark of claude-opus-4-8: 192 logged API responses across 32 everyday tasks, built as loose/bounded minimal pairs isolating scope explicitness.
  • Five-category intention-fidelity rubric with precedence and materiality rules plus five behavioural flags; coded the full corpus and analysed override rates by task type and specificity.
  • Findings: over-delivery in 21.4% of responses; significant specificity effect (30.2% to 12.5%, Fisher's exact p = 0.004); zero goal-level substitution (0/192); a reversal on advice tasks, with explicit boundaries violated more often than loose requests exceeded (45.8% vs 12.5%).
  • Mapped onto Anthropic's Values in the Wild taxonomy; codebooks, coded dataset, and preprint released publicly.
Doctoral Research: Adolescent Autonomy in AI-Mediated Environments Oct 2025 – present

UCL Interaction Centre (UCLIC), MPhil/PhD

  • Thesis programme on how algorithmic and AI systems shape teenage autonomy and intention; behavioural study design with a population most researchers cannot ethically access.

Publications

02
Springer Studies in Rhythm Engineering 2026
03
Springer Studies in Rhythm Engineering 2026
04
Taylor &Francis 2024

Experience

Brainfloss
London
Associate Product Manager
May 2024 – Mar 2025

Built a research-driven product for aviation training institutes. Conducted 15+ user interviews, defined 4 core features, reduced design-engineering revisions by 30%.

Studio Vitamin D
Pune
UX Design Intern
Jan 2025 – Mar 2025

Identified 8+ key pain points. Reduced workflow ambiguity by 32%. Produced annotated design documentation.

EngramLogic
Pune
UX Research Intern
Aug 2024 – Nov 2024

Researched 55 students using personality segmentation. Created behaviour models and contributed to two published papers.

Ogee Studio
Pune
UX Design Intern
Jan 2024 – Apr 2024

Conducted heuristic evaluations of cybersecurity tools and designed 12+ high-fidelity dashboards.

Achievements

On stage

Presented at IIT Mandi, MBCC 2025

Silver

2nd Prize, Impetus & Concepts

14 years of rhythm

First Class Distinction, Kathak Visharad (14 years)

Runner up

Runner Up, PICT International Competition

Robots

Regional Finalist, IIT Bombay E-Yantra

Published poet

Author, Braided Resilience (Poetry Collection)

Let's build something
that matters.

If you're designing products for young people or commissioning research on the intention–action gap, consider approaching it through the lens of autonomy.

Send a message
University Email saniya.atalatti.25@ucl.ac.uk
Google Scholar scholar.google.com
Location London, United Kingdom
Institution UCL Interaction Centre