THE HUMAN EXPERIENCE OF AI


AI is no longer something people read about. It is something they work with, argue with, and occasionally mistrust. This year, the Social and Responsible AI Team at Bell Labs examined how AI shows up in everyday settings and how small design choices shape what people understand, rely on, or resist.

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Meet the Team

Daniele Quercia

Daniele Quercia

Eager to collaborate on human-AI interaction, advancing meaningful user experiences and responsible AI.

Sanja Scepanovic

Sanja Šćepanović

Let's make AI for Earth Observation and AI for Public Health responsible together

Adam Ke Zhou

Adam Ke Zhou

Keen on teaming up for ethical and transparent NLP collaboration

Edyta Bogucka

Edyta Bogucka

Seeking partners to make AI clearer, more usable, and more human through visualization and design

Vibhor Agarwal

Vibhor Agarwal

Passionate about shaping responsible human–AI interactions by making AI agents reliable, unbiased, and grounded

Lakmal Meegahapola

Lakmal Meegahapola

Excited to collaborate on human-centered responsible AI and socio-technical AI risks

See our 2025 in numbers

15
Publications
ACM CHI

RiskRAG: A Data-Driven Solution for Improved AI Model Risk

We surface model- and use-specific risks by mining thousands of model cards and real deployment failures.

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AAAI/ACM

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms

We show that developers and researchers focus on technical flaws while missing the fraud, manipulation, and misuse driving real-world AI incidents.

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ACM Web Conference

C3AI: Crafting and Evaluating Constitutions for Constitutional AI

We show how to select, phrase, and evaluate constitutional principles that better align models with human judgment.

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ACM CHI

The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public

We compare public views on AI with those of prominent AI leaders using a large, representative study.

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ACM CSCW

Impact Assessment Card: Communicating Risks and Benefits of AI Uses

We repackage lenghty AI impact assessments into a concise format that supports faster, higher-quality decisions.

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EPJ Data Science

Uncovering Organisational Pride and Psychological Safety From Glassdoor Reviews

We analyse 430,000 employee reviews to measure workplace culture across 318 U.S. companies.

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See more publications →

30
External talks
AAAI/ACM AIES

Should LLMs Be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models

We show in that reducing Western bias increases cultural variation but also raises the risk of discriminatory outputs.


Read the talk summary → Read the paper →
Urban Tech Summit

Why Urban AI Needs Culture, Not Just Code

We ran backcasting exercises with 40+ researchers and city officials to explore desirable and harmful AI futures.

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ACM CHIWORK

AI, Jobs, and the Automation Trap: Where Is HCI?

We reveal how current incentives push AI toward replacing workers rather than augmenting them.

Read the paper →
UNESCO

Can AI be Ethical?

We argue that ethical AI requires tools for imagination and foresight, not just regulation.

See the talk summary →
Nokia

Yes, AI Will Reshape American Cities, But Not Equally

We linked 24,700 AI patents to occupational tasks to reveal that economic specialization, not city size, drives where AI hits hardest.

See the blog post →

See more talk summaries →

4
Datasets
Nature Scientific Data

We Opened Heart Data. Tech Could Too.

We release a four-week, in-the-wild dataset linking continuous heart signals with sleep and mental-health diaries.

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Nature Scientific Data

Health-promoting Potential of Parks in 35 Cities

We scored over 23,000 parks worldwide on how well their features support different health-promoting activities.

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ACM Web Conference

Mapping AI Constitutions

We released a dataset of 185 principles and a similarity matrix capturing how principles relate to one another.

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EPJ Data Science

Measuring How Computer Science Research Translates into Innovation and Development

We released code and datasets linking over 200,000 computer science papers to U.S. patents and GitHub repositories.

Read more →

See more datasets →

9
Visiting researchers

Read what the summer taught them


Jaspreet Ranjit

Jaspreet Ranjit

University of Southern California

During my internship, I worked with Adam and Daniele to model divergences between worker and developer automation preferences to inform human-centered frameworks for responsible and value-aligned AI deployment. We also investigated how AI-driven workplace automation reshapes workers’ sense of value, purpose, and meaning. My time in Cambridge was wonderful, and I'm grateful for the valuable feedback and support provided by the team on a weekly basis.

Leon Froehling

Leon Fröhling

GESIS - Leibniz Institute for the Social Sciences | RWTH Aachen University

The summer internship was an intense experience, offering fresh perspectives on what it means to conduct research in an industry setting. The Social & Responsible AI group has a remarkably clear vision for enabling interns to develop publishable papers for top conferences within just a summer in Cambridge — an impressive feat! Best of all, however, was the opportunity to connect with fellow young researchers from around the world.

Jarod Govers

Jarod Govers

University of Melbourne

My internship at Bell Labs offered some great PhD skills and new experiences – hybridising human and AI interaction on the important area of AI risk assessment, being able to run codesign workshops at multiple locations, and the ability to draw on the skills of all the staff and other interns! It was great to see how interdisciplinary the team is and how their backgrounds offer you new ways to plan, meet and think differently. The internship gave me a better understanding of how to concisely plan and control for variables for in-person studies, and to how structure tasks in a time-efficient manner.

Taenyun Kim

Taenyun Kim

Michigan State University

During my summer internship at Nokia Bell Labs, I worked with Edyta and Daniele to investigate the potential for building AI that incorporates human morality and its limitations. In this project, I learned the importance of strategic goal-setting and team communication to deliver results under strict deadlines. Best of all, I truly enjoyed my time exploring the hidden gems of Cambridge.

Alessandro Giaconia

Alessandro Giaconia

ETH Zürich

Spending the summer internship at Nokia Bell Labs in the Social & Responsible AI team opened me to new ways of thinking about technology and its societal impact. Coming from a computer science background, I was introduced to social science research while working at the lab, and contributed to projects focused on enabling global brainstorming around safe AI development. It was an intense summer, but also a highly rewarding one that broadened my perspective on responsible AI.

Julia De Miguel Velazquez

Julia De Miguel Velázquez

King's College London

My PhD placement at Nokia Bell Labs has been invaluable for my research on human-AI interaction, where my focus lies on AI in the workplace and incidents. I work closely with Daniele and Sanja whose mentorship every week guides both my work and research skills. On top of this, I really enjoy the weekly seminars and reading groups with all the team and hear interesting points from a very interdisciplinary team! This year, I was happy to present our work at conferences. Although based in London, I like going up to Cambridge to visit the team in person.

Gabriele La Malfa

Gabriele La Malfa

King's College London

What a good time I had as a visiting student at Nokia Bell Labs! Even working remotely, I felt in an extremely welcoming and collaborative environment. A huge thank you to Lakmal, Edyta and Daniele, with whom I have worked on a risk taxonomy project that analyses AI deployment in the workplace through a multi-agent systems perspective. Nokia Bell Labs in Cambridge is extremely well organised and efficient, and their researchers are great. The time I spent with them was really meaningful and precious!

Davide Ghia

Davide Ghia

Politecnico di Torino

During my first two months, I built on prior work within the team and, under Daniele’s supervision, deepened the study of meaning, purpose, and human flourishing in the workplace. I have greatly enjoyed the beginning of this journey and am grateful for the team’s support in helping me grow as a researcher.

Doruk Sen

Doruk Sen

Istanbul Bilgi University

This summer, I visited Nokia Bell Labs in Cambridge as a visiting scholar with the Social & Responsible AI team, collaborating on questions at the intersection of AI and society, including accessibility, bias, and the challenges of historical depiction in today’s services. Through reading groups, seminars, and frequent exchanges of ideas, I identified new directions and formed collaborations for my research.

Applicant

You? Join us!



We welcome applications from outstanding PhD students and scholars to join us in 2026 as summer interns, self-funded visitors or project collaborators.


Ask us anything

We have our own curiosities. If you could borrow our Team to satisfy one of yours, what would it be?


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