# Qual è il piu grande rischio dell’AI? | Filomena Floriana Ferrara | TEDxLink Campus University

Source: https://www.youtube.com/watch?v=LlEjBpnAduw
Recap page: https://rapidrecap.app/video/LlEjBpnAduw
Generated: 2025-12-03T20:04:56.443+00:00

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## Quick Overview

The greatest risk of Artificial Intelligence is not the technology itself, but humanity's failure to establish ethical, responsible, and safe regulatory frameworks to guide its development and application, as demonstrated by historical technological shifts like the train and the automobile.

**Key Points:**
- The term "Artificial Intelligence" originated in 1956, but the concept of thinking machines was explored earlier by writers like Jonathan Swift in "Gulliver's Travels" (1726).
- Alan Turing, a key early scientist, created the first programming language for AI, called "List," in 1950.
- The speaker cites the development of the train and the rise of personalized travel as historical analogies for massive technological disruption.
- IBM's Deep Blue defeating Garry Kasparov in chess in 1997 was a major media event, but the speaker argues that the greatest risk is not malice but misuse or lack of governance.
- The EU's AI Act, released in late 2022, is an attempt to create responsible and ethical guidelines for AI development.
- The speaker concludes that the biggest risk is the failure to develop corresponding ethical, safe, and responsible regulations for AI systems.

![Screenshot at 00:32: The speaker, Filomena Filomena Ferrara, poses the central question of her talk: "What is the greatest risk of Artificial Intelligence?" as the presentation slide transitions to her introduction.](https://ss.rapidrecap.app/screens/LlEjBpnAduw/00-00-32.png)

**Context:** The presentation, titled "Lex Machina" and part of a TEDx event at Link Campus University, features Filomena Filomena Ferrara discussing the inherent risks associated with Artificial Intelligence (AI). Ferrara frames the discussion by tracing the history of AI concepts from early literature to the creation of the first programming language, contrasting the fear surrounding new technology with the actual benefits derived from historical innovations like the train.

## Detailed Analysis

Filomena Filomena Ferrara addresses the greatest risk associated with Artificial Intelligence, concluding that it is not the technology itself but the failure of humans to regulate it responsibly. She traces the lineage of AI ideas back to 1726 with Jonathan Swift's depiction of thinking machines in "Gulliver's Travels," and notes that Alan Turing created the first programming language for AI, "List," in 1950. Ferrara uses the historical example of the train to illustrate how transformative technology (which was initially seen as dangerous, requiring new laws for railways) eventually led to massive societal improvements, despite initial fears about job displacement. She references IBM's Deep Blue defeating Garry Kasparov in chess in 1997 as a significant moment where AI proved its capability in complex tasks, which was previously the domain of human intellect. The key takeaway is that the current challenge is not the creation of intelligent machines, but ensuring that the development is guided by strong ethical, responsible, and safe frameworks, referencing the EU AI Act released in late 2022 as a step in the right direction. The ultimate risk, she stresses, is the lack of governance to ensure AI enhances human quality of life rather than causing harm through misuse.

### Introduction to AI History

- Term "Artificial Intelligence" coined in 1956
- Alan Turing developed the first programming language for AI, "List," in 1950
- Literary concepts of thinking machines date back to Jonathan Swift's "Gulliver's Travels" (1726)

### Historical Analogy

- The invention of the train led to fears about job loss and required new regulations, but ultimately improved quality of life
- Similarly, AI is a transformative technology that needs proper guidance

### Key Milestones

- IBM's Deep Blue beat Garry Kasparov in chess (1997), demonstrating AI's capacity for complex reasoning
- This event shifted public perception, moving AI from mere theory to practical application

### The Real Risk

- The greatest danger is not the AI itself (like Deep Blue), but the failure to establish responsible governance
- This includes ensuring ethical standards, data security, and accountability for AI systems

### Regulatory Efforts

- The EU released its AI Act in late 2022, attempting to establish rules for AI development
- Ferrara emphasizes that all disciplines—science, engineering, humanities—must engage to shape this regulation.

![Screenshot at 00:04: Title card displaying "LEX MACHINA" alongside logos for TEDx Link Campus University and University Link.](https://ss.rapidrecap.app/screens/LlEjBpnAduw/00-00-04.png)
![Screenshot at 00:09: A presenter introduces the next speaker, Filomena Filomena Ferrara, against the backdrop of the illuminated TEDx Link Campus University sign.](https://ss.rapidrecap.app/screens/LlEjBpnAduw/00-00-09.png)
![Screenshot at 00:32: The title slide for Filomena Ferrara's talk appears, posing the question: "Qual è il più grande rischio dell’AI?" \(What is the greatest risk of AI?\).](https://ss.rapidrecap.app/screens/LlEjBpnAduw/00-00-32.png)
![Screenshot at 01:18: The speaker gestures while explaining that early concepts of thinking machines were purely theoretical until later developments.](https://ss.rapidrecap.app/screens/LlEjBpnAduw/00-01-18.png)
![Screenshot at 02:04: The speaker emphasizes that the definition of AI is a "marvelous discipline" that studies systems simulating human competence.](https://ss.rapidrecap.app/screens/LlEjBpnAduw/00-02-04.png)