Image and Video Manipulation : The Impact of Deepfakes Video

Dive into the world of "deepfakes" with our video exploring the impact of generative AI on visual trust. From the resurrection of cinema icons to the manipulation of leaders' speeches, discover the feats and dangers of this technology. Learn how technology combats deception in the face of risks to privacy and reputation. Stay vigilant in this era of digital illusions.

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résultat(s)
00:00:05
Since the dawn of photography,
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image manipulation has existed,
00:00:09
but the advent of the digital
00:00:11
era has opened the way for
00:00:14
more advanced manipulations,
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sometimes challenging our
00:00:16
perception of reality.
00:00:18
Among these innovations,
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the deep fake stands out.
00:00:21
Particularly this term,
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a fusion of deep learning and
00:00:25
fake refers to videos or images
00:00:28
generated by AI algorithms.
00:00:29
These creations are so convincing
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that they can easily be
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mistaken for genuine recordings.
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The potential of deep fakes is vast.
00:00:38
Think of cinema icons like Marilyn
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Monroe or James Dean who come
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back to life to act in new films
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or imagine world leaders giving
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speeches they never actually made.
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The possibilities,
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whether creative or malicious,
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are almost endless.
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However,
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these technological advances
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raise serious ethical questions.
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In an era where seeing was believing,
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How can we still trust our eyes when
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algorithms can perfectly reproduce reality?
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The line between true and
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false becomes blurred,
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eroding
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our trust in visual content.
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The implications for privacy
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are equally worrying.
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Videos can be fabricated to
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show people in situations
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they have never experienced,
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ruining reputations in an instant.
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In the world of
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media, where truth is crucial,
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deep fakes can be used to create false
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news, manipulate public opinion,
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and even influence the course of elections.
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Fortunately, the technology
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itself offers a glimmer of hope.
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Researchers and companies are working
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on tools to detect deep fakes.
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These solutions use AI to
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analyze videos and spot anomalies
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that betray manipulation.
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In this evolving landscape,
00:01:45
one thing remains constant the need
00:01:48
to stay vigilant and informed.

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résultat(s)
00:00:05
Desde os primórdios da fotografia,
00:00:07
a manipulação de imagem existiu,
00:00:09
mas o advento do digital
00:00:11
O EEI abriu caminho para
00:00:14
manipulações mais avançadas,
00:00:15
por vezes desafiando o nosso
00:00:16
perceção da realidade.
00:00:18
Entre essas inovações,
00:00:19
o deep fake se destaca.
00:00:21
Particularmente este termo,
00:00:22
uma fusão de aprendizagem profunda e
00:00:25
fake refere-se a vídeos ou imagens
00:00:28
gerados por algoritmos de IA.
00:00:29
Estas criações são tão convincentes
00:00:31
que podem ser facilmente
00:00:33
confundido com gravações genuínas.
00:00:36
O potencial das deep fakes é vasto.
00:00:38
Pense em ícones do cinema como Marilyn
00:00:41
Monroe ou James Dean que vêm
00:00:43
De volta à vida para atuar em novos filmes
00:00:46
ou imagine líderes mundiais dando
00:00:48
discursos que nunca fizeram.
00:00:51
As possibilidades,
00:00:52
sejam eles criativos ou maliciosos,
00:00:53
são quase infinitas.
00:00:54
No entanto,
00:00:55
estes avanços tecnológicos
00:00:56
levantam sérias questões éticas.
00:00:58
Numa época em que ver era acreditar,
00:01:01
Como podemos ainda confiar nos nossos olhos quando
00:01:03
Os algoritmos podem reproduzir perfeitamente a realidade?
00:01:06
A linha entre verdadeiro e verdadeiro
00:01:08
false torna-se desfocado,
00:01:09
erosão
00:01:09
a nossa confiança no conteúdo visual.
00:01:11
As implicações para a privacidade
00:01:13
são igualmente preocupantes.
00:01:14
Os vídeos podem ser fabricados para
00:01:15
mostrar pessoas em situações
00:01:17
nunca experimentaram,
00:01:19
arruinando reputações num instante.
00:01:20
No mundo da
00:01:22
meios de comunicação social, onde a verdade é crucial,
00:01:24
Deep fakes podem ser usados para criar falsos
00:01:27
notícias, manipular a opinião pública,
00:01:28
e até influenciar o desenrolar das eleições.
00:01:31
Felizmente, a tecnologia
00:01:32
ela própria oferece um vislumbre de esperança.
00:01:34
Investigadores e empresas estão a trabalhar
00:01:36
em ferramentas para detetar deep fakes.
00:01:38
Essas soluções usam IA para
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analisar vídeos e detetar anomalias
00:01:42
que traem a manipulação.
00:01:44
Neste cenário em evolução,
00:01:45
Uma coisa permanece constante: a necessidade
00:01:48
manter-se vigilante e informado.

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Part 02 - Societal and Ethical Implications of Generative AI

Address the challenges and opportunities of generative AI, exploring its societal, ethical impacts, and implications on truth, risks, and trust in the digital era.

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