🔬 Scientific Innovation & Responsibility

AI, climate change, biotechnology, medical ethics, green technology. Essential for Sciences, NSI and SES students.

💡 Key Notions

▸AI: systems that simulate human intelligence — machine learning, neural networks, natural language processing

▸Automation: AI's impact on employment — job displacement and creation of new roles

▸Algorithmic bias: AI systems can perpetuate or amplify existing social inequalities

▸AI ethics: the need for transparent, accountable and fair AI governance

📝 Vocabulary

machine learningapprentissage automatique

"Machine learning enables systems to improve from experience."

neural networkréseau de neurones

"Neural networks can identify faces in milliseconds."

biasbiais

"Algorithmic bias can discriminate against minorities."

automationautomatisation

"Automation is transforming manufacturing and services."

ethicséthique

"AI ethics asks who is responsible when AI causes harm."

transparencytransparence

"Algorithmic transparency allows independent auditing."

disruptivedisruptif/ive

"AI is the most disruptive technology of our era."

accountabilityresponsabilité

"AI developers must be held accountable for harms."

✍️ Grammar Focus

📝 Exercices

EX-P-AX6-1DifficileEssay — AI: opportunity or threat?

'Artificial intelligence is humanity's greatest tool — or its greatest threat.' Write a structured essay (180-200 words) discussing this statement.

✨ Spécificités par parcours

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🔬 Sciences/NSI

🔥 Axe très important — textes scientifiques, IA technique, éthique

Vocabulaire spécifique

training datadeep learningoverfittingreinforcement learningneural architecturequantum computingbiotechnology

EX-P-AX6-S1DifficileAI & Medicine (Sciences)

'AI is transforming medical diagnosis, but raises serious ethical questions.' Explain with specific examples and discuss 2 ethical issues.

6.1 Artificial Intelligence & Society