Celeste Andreano
Junior Data Scientist & Data Analyst | Finance, AI, Strategy & Communication
Modena, Italy
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With a background in "Data Analytics for Business and Finance" and currently pursuing a Master's degree in "Finance", I explore the intersection of artificial intelligence, data-driven decision-making and society.
My main speaking focus is AI and Justice, a topic through which I examine the ethical, social and legal challenges raised by increasingly intelligent technologies. I'm particularly interested in how AI shapes decisions, affects people and challenges our understanding of fairness, accountability and responsibility.
Beyond the technology itself, I believe in the importance of making complex topics accessible, encouraging critical thinking and creating meaningful conversations between different perspectives. Through public speaking and my involvement in STEM and AI education, I aim to connect technical innovation with its real-world implications.
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def Judge(human, AI_model, bias=True): print("Welcome to the Age of Perfect Injustice")
What happens when bugs don't just cause a crash, but destroy human lives? In a world that increasingly delegates critical decisions to algorithms, the line between "statistical optimization" and "systemic injustice" has become dangerously thin. In this talk, we'll explore the fine line between cognitive error and computational bias, analyzing how justice is sliding toward opaque automation.
The keynote address:
1. Human Error: We'll analyze the cognitive biases that affect real-world courts. Through studies and documented news stories, we'll see how environmental factors and systemic biases influence the decisions of human judges.
2. Machine Error: We'll sift through real-world cases of algorithmic discrimination. We'll see where AI has failed (from the COMPAS case to credit scoring and surveillance systems), deconstructing the intrinsic problems of machine learning: from the toxicity of datasets to the lack of explainability.
3. The Dystopian Warning: We will use an emblematic case to illustrate a risk as dangerous as it is subtle: the loss of the right to appeal and empathy. What happens when AI ceases to be a support tool and becomes an absolute, final and context-free judge?
Why watch this talk:
This talk invites reflection on the structural responsibility of those who write code. The goal is not to demonize technology, but to understand that in an "automated" justice system, a bug is no longer just a "service ticket" but a violation of fundamental rights.
Key Takeaways:
1. Understand the human biases we unconsciously transfer into systems.
2. Analyze the documented failures of "judgmental" AI in the real world.
3. Understand the danger of technological determinism and recognize the role of the "human-in-the-loop" through pop culture.
def Judge(human, AI_model, bias=True): print("Welcome to the Age of Perfect Injustice")
What happens when bugs don't just cause a crash, but destroy human lives? In a world that increasingly delegates critical decisions to algorithms, the line between "statistical optimization" and "systemic injustice" has become dangerously thin. In this talk, we'll explore the fine line between cognitive error and computational bias, analyzing how justice is sliding toward opaque automation.
The keynote address:
1. Human Error: We'll analyze the cognitive biases that affect real-world courts. Through studies and documented news stories, we'll see how environmental factors and systemic biases influence the decisions of human judges.
2. Machine Error: We'll sift through real-world cases of algorithmic discrimination. We'll see where AI has failed (from the COMPAS case to credit scoring and surveillance systems), deconstructing the intrinsic problems of machine learning: from the toxicity of datasets to the lack of explainability.
3. The Dystopian Warning: We will use an emblematic case to illustrate a risk as dangerous as it is subtle: the loss of the right to appeal and empathy. What happens when AI ceases to be a support tool and becomes an absolute, final and context-free judge?
Why watch this talk:
This talk invites reflection on the structural responsibility of those who write code. The goal is not to demonize technology, but to understand that in an "automated" justice system, a bug is no longer just a "service ticket" but a violation of fundamental rights.
Key Takeaways:
1. Understand the human biases we unconsciously transfer into systems.
2. Analyze the documented failures of "judgmental" AI in the real world.
3. Understand the danger of technological determinism and recognize the role of the "human-in-the-loop" through pop culture.
DevFest Modena 2026 Sessionize Event
DevFest Vicenza 2026 Sessionize Event
Celeste Andreano
Junior Data Scientist & Data Analyst | Finance, AI, Strategy & Communication
Modena, Italy
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