Speakers

MIRIAM SANTOS (As Raparigas do Código) E MARIANA FONSECA (JuniorAI)

Welcome Session

PAULO NUNO VICENTE

From Artificial Sociality to Algocracy

This communication examines the ongoing societal transition from artificial sociality, the integration of AI systems as relational agents within everyday social life, to algocracy, understood as governance supported by algorithmic decision-making.

We argue that as intelligent systems evolve from communicative interfaces to mechanisms that mediate access to information, resources, and rights, they acquire normative functions traditionally associated with political authority.

We discuss how algorithmic systems reshape agency, accountability, and democratic oversight, proposing that algocracy represents not merely technological efficiency but a structural transformation in the locus of power within contemporary societies.

MIRIAM SANTOS (As Raparigas do Código) E MARIANA FONSECA (JuniorAI)

Welcome Session

LIA MEIRELES E MARTA MONTEIRO

Is this talk biased?

Machine-learning models don’t exist in a vacuum- they learn from data that reflects real-world assumptions, patterns and inequalities.

In this session, we explore what bias is, how it appears in machine-learning models, and why it matters. Through concrete examples and exploratory data work, we will learn how to recognize bias and reflect on its broader societal impact.

The goal is to foster a critical and curious mindset: questioning data and models, understanding their limitations, and thinking about what to do once bias is identified.

JULIEN PAUBLANT

Natixis with Giskard:
Secure Your Chatbots, Guarantee Their
Reliability

Discover Giskard, the French responsible AI solution that is revolutionizing chatbot testing. This automated and configurable tool allows for the rigorous evaluation of your conversational agents, thereby protecting them from prompt attacks and significantly reducing hallucinations and biases.

HUMBERTO BASTOS, MIGUEL CORREIA E AFONSO ROQUE

Talk by KindTech:
Starting Before You’re Ready

The founding team of Kind Tech shares what they've learned building in the age of AI: from shipping before they were perfect, to moving fast, to finding the people that make great things inevitable. An honest talk for anyone who's been waiting for the right moment.

Code4Cause

Mini-Hackathon: Fairness in Credit Scoring

Powered by Natixis in Portugal

Code4Cause Labs is the hands-on moment of AI4Equality Kernel 2026.

In this 3-hour mini-hackathon, participants will explore bias in machine learning credit scoring models, evaluate fairness metrics, and apply mitigation techniques to balance performance with responsibility.

Guided by technical mentors from Natixis in Portugal, together with As Raparigas do Código and JuniorAI, teams will translate ethical concerns into measurable technical action.

Code4Cause Labs is the hands-on moment of AI4Equality Kernel 2026.

In this 3-hour mini-hackathon, participants will explore bias in machine learning credit scoring models, evaluate fairness metrics, and apply mitigation techniques to balance performance with responsibility.

Guided by technical mentors from Natixis in Portugal, together with As Raparigas do Código and JuniorAI, teams will translate ethical concerns into measurable technical action.

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