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How not to remain mute in the face of AI | Jean-Gabriel Ganascia | TEDxRivesdeMoselle
TEDx Talks· 2025-07-22 14:57
Industry Perspective on AI's Trajectory - The artificial intelligence field, originating in 1955, aims to simulate mental faculties like perception, reasoning, and memory on computers, influencing various technologies [3][4] - The web, including hypertext developed in 1965, exemplifies AI through memory simulation and connection between text parts, impacting web economics via profiling [6][7][8] - Autonomous vehicles demonstrate AI's presence, but the challenge lies in predicting AI's future advancements beyond current capabilities [9][10] - Retrospective analysis of technologies, such as neural networks initially developed in 1943, reveals unpredictable development patterns, with periods of enthusiasm followed by disillusionment [17][18] Time and Evolution of AI - The development of AI does not follow a linear progression but rather a cyclical pattern, with concepts resurfacing and disappearing over time, resembling an "helical" progression [24][25][26] - The emergence and subsequent decline in popularity of the metaverse, preceded by Second Life over 20 years ago, illustrates the cyclical nature of technological enthusiasm and disappointment [26][27][28] Ethical and Societal Implications - AI's transformative impact on society and human relationships necessitates ethical considerations to mitigate potential dehumanization risks [36] - European Union's AI Act aims to regulate AI based on risk assessment, but over-regulation could hinder beneficial applications, similar to restricting knives due to potential harm [37][38] - The unpredictable nature of AI development, influenced by societal adoption, makes it challenging to anticipate future impacts and necessitates an ethical approach that embraces the unexpected [40][41][42] Future Applications and Open Questions - AI is expected to bring transformations, including automated translation and autonomous vehicles, alongside potential societal concerns [30][31] - AI's ability to predict protein folding, exemplified by programs like AlphaFold, holds promise for designing new molecules and medicines [35]
L’IA nous rend-elle plus paresseux.. et moins intelligents ? | Inès Besbes | TEDxTélécom SudParis
TEDx Talks· 2025-06-26 15:08
Artificial Intelligence Impact - The talk explores the growing impact of artificial intelligence on our habits, attention, and cognitive abilities [1] - It questions whether AI's convenience leads to underutilization or better orientation of our intelligence [1] - The discussion encourages moving beyond clichés to consider how AI can enhance rather than diminish our potential [1] Ethical and Responsible AI - The talk advocates for a responsible and effective approach to coexisting with AI technologies [1] - Inès Besbes, founder and CEO of Seedext, champions ethical and sovereign AI [1] - Seedext developed Foxy, an intelligent assistant that automatically summarizes meetings [1] Technological Innovation - Inès Besbes regularly speaks on the challenges of technological innovation in Europe [1]
Démasquer les illusions des deepfakes audio | Hoan My TRAN | TEDxLannion
TEDx Talks· 2025-06-23 16:11
Deepfake Audio Detection Industry Overview - Deepfakes extend beyond public figures, potentially affecting anyone through scams [3][4] - Deepfake audio scams surged, with over 2 million cases reported between 2022 and 2023 globally [5] - AI is used both to create and detect deepfakes, highlighting a dual role in the industry [9] Technical Aspects of Deepfake Detection - Deepfake audio detection involves analyzing voice characteristics like intonation, rhythm, and prosody to determine authenticity [10] - Deepfake audio detection tools rely on databases of real and fake audio samples to train AI models [11][12] - The process involves transforming audio into digital information using deep learning techniques to extract acoustic and linguistic features [13][14][15] - Detection models are evaluated based on their ability to correctly identify deepfakes and avoid false positives, with continuous retraining to improve accuracy [18][19][20] Mitigation and Prevention Strategies - Vigilance and adoption of best practices are crucial, as detection tools alone are insufficient [22] - Verifying requests through alternative channels and limiting personal information shared online can help prevent deepfake scams [23][24] - Protecting personal data, images, and audio is essential to reduce the risk of being a target of deepfake creation [25]
La nouvelle ère de l’IA: Progrès ou péril pour l’humanité ? | Gabriela Ramos | TEDxMines Paris
TEDx Talks· 2025-06-16 15:09
Merci, merci, merci pour cette présentation si aimable et j'ai une confession à faire et je viens de savoir que je peux faire cette introduction en anglais mais je l' préparé en français et donc je vais essayer de faire l'en français même avec mon petit accent mexicaine. Et je vais vous inviter à imaginer un monde où l'intelligence artificielle permet de trouver des solutions aux maladies qui nous inquiètent comme l'Alzheimer, comme la dépression comme beaucoup de sujets qui sont vraiment inquiétantes. Imag ...