The Impact of Generative AI on Truth and Trust Tutorial

Our video details the power of technologies like DeepMind, GPT-4, and Midjourney, true players in digital transformation, blurring the lines between reality and fiction. These nearly perfect digital counterfeits prompt us to ask: "How do we distinguish the real from the fake?". The 2018 Tesla incident illustrates the danger of misleading information in the digital world. In the digital era, companies and brands can see their reputation turn on a single statement. But it's also democracy and social cohesion that are threatened by this AI-generated misinformation. Discover in our video the innovative initiatives to combat misinformation. In this digital jungle, finding the truth requires more discernment and vigilance than ever.

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résultat(s)
00:00:04
Artificial intelligence is shaping our
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world in ways we never could have imagined.
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Generative AIS have
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transcended our expectations.
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Today, they can compose melodies
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similar to those of great musicians,
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write articles in the style
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of renowned journalists,
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reproduce voices evoking our
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favorite actors and singers,
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and generate faces and videos so
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realistic they seem like they're
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straight out of a Hollywood movie.
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What was once relegated to the
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pages of science fiction novels is
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now coming to life before our eyes
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through applications like DeepMind,
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GPT 4, or Mid Journey.
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Deep fakes are among the most controversial
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applications of this technology.
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Imagine a video of an influential
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personality making an explosive statement.
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Except this statement was never made.
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In a world where we rely
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on what we see and hear,
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the implications can be devastating.
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Businesses are particularly vulnerable.
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A single doctored video can
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trigger a financial crisis,
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ruin years of branding, or sow chaos
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among shareholders and customers.
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But it's not just about money.
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Trust, once lost, is hard to restore.
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In an interconnected corporate world,
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misinformation can quickly go viral,
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affecting not just one company,
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but an entire industry.
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One of the most striking examples
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that can illustrate the vulnerability
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of businesses to misinformation is
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the case of Tesla in 2018.
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In August 2018, Elon Musk,
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CEO of Tesla, tweeted that he was
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considering taking Tesla private
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and that he had funding secured.
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This statement led to a surge in
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Tesla stock price of over 10%.
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However, it later turned out that
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Musk did not have a concrete plan
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or secured funding for such a move.
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The SEC Securities and Exchange
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Commission then sued Musk
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for misleading investors.
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Although this is not a direct
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example of a deep fake or
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AI generated misinformation,
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it shows how a single statement,
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whether true or false,
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can have major repercussions
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on a company's stock price,
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reputation, and investor trust. Transposing
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this to the A is ability
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to create fake content.
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One can imagine the potential
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consequences if, for example, adopted
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video of a major company's CEO were
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released falsely announcing disruptive news.
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Financial markets could react
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before even verifying the
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authenticity of the statement.
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On a societal level,
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the consequences are even greater.
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Elections can be rigged.
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Tensions can be exacerbated.
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Families can be divided
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by contradictory truths.
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When information becomes
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indistinguishable from misinformation,
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the very structure of our
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democracy is put to the test.
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But it's not all doom and gloom.
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There are countermeasures.
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Journalists, researchers,
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and technologists are working tirelessly
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to detect and combat these forgeries.
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They are developing tools to identify
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deep fakes, educating the public
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on how to spot telltale signs,
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and attempting to restore
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trust in the post truth era.
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We are at a crossroads.
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Technology is advancing and
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we must move forward with it,
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always informed,
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always vigilant,
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and always ready to discern
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truth from fiction.

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résultat(s)
00:00:04
A inteligência artificial está a moldar a nossa
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mundo de maneiras que nunca poderíamos ter imaginado.
00:00:09
Os AIS generativos têm
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transcendeu as nossas expectativas.
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Hoje, podem compor melodias
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semelhantes aos de grandes músicos,
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escrever artigos no estilo
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de jornalistas de renome,
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reproduzir vozes que evocam a nossa
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atores e cantores favoritos,
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e gerar rostos e vídeos assim
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realistas, parecem ser
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saído diretamente de um filme de Hollywood.
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O que antes era relegado ao
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páginas de romances de ficção científica é
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agora ganhando vida diante dos nossos olhos
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através de aplicações como a DeepMind,
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GPT 4, ou Mid Journey.
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Deep fakes estão entre as mais controversas
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aplicações desta tecnologia.
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Imagine um vídeo de um influente
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personalidade fazendo uma declaração explosiva.
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Só que essa afirmação nunca foi feita.
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Num mundo em que confiamos
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sobre o que vemos e ouvimos,
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As implicações podem ser devastadoras.
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As empresas são particularmente vulneráveis.
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Um único vídeo manipulado pode
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desencadear uma crise financeira,
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arruinar anos de branding, ou semear o caos
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entre acionistas e clientes.
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Mas não se trata apenas de dinheiro.
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A confiança, uma vez perdida, é difícil de restaurar.
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Num mundo corporativo interligado,
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a desinformação pode rapidamente tornar-se viral,
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não afetando apenas uma empresa,
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mas toda uma indústria.
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Um dos exemplos mais marcantes
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Isso pode ilustrar a vulnerabilidade
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das empresas à desinformação é
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o caso da Tesla em 2018.
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Em agosto de 2018, Elon Musk,
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CEO da Tesla, tuitou que estava
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considerando tornar a Tesla privada
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e que tinha financiamento assegurado.
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Esta declaração levou a um aumento da
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Preço das ações da Tesla de mais de 10%.
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No entanto, mais tarde descobriu-se que
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Musk não tinha um plano concreto
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ou garantiu financiamento para tal movimento.
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A SEC Valores Mobiliários
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Comissão processou Musk
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para induzir os investidores em erro.
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Embora este não seja um direto
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exemplo de deep fake ou
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IA gerou desinformação,
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mostra como uma única declaração,
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se é verdadeiro ou falso,
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pode ter repercussões importantes
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sobre o preço das ações de uma empresa,
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reputação e confiança dos investidores. Transpondo
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isso para o A é capacidade
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para criar conteúdo falso.
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Pode-se imaginar o potencial
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consequências se, por exemplo, for adotada
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vídeo do CEO de uma grande empresa foram
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divulgou falsamente anunciando notícias perturbadoras.
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Os mercados financeiros podem reagir
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antes mesmo de verificar o
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autenticidade da declaração.
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A nível societal,
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as consequências são ainda maiores.
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As eleições podem ser fraudadas.
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As tensões podem ser exacerbadas.
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As famílias podem ser divididas
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por verdades contraditórias.
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Quando a informação se torna
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indistinguível da desinformação,
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a própria estrutura do nosso
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A democracia é posta à prova.
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Mas nem tudo é desgraça.
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Há contramedidas.
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Jornalistas, investigadores,
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e os tecnólogos estão trabalhando incansavelmente
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para detetar e combater estas falsificações.
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Estão a desenvolver ferramentas para identificar
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deep fakes, educando o público
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sobre como detetar sinais reveladores,
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e tentando restaurar
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Confie na era da pós-verdade.
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Estamos numa encruzilhada.
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A tecnologia está a avançar e
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temos de avançar com ela,
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sempre informado,
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sempre vigilante,
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e sempre pronto a discernir
00:03:14
verdade da ficção.

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DiLeaP AI: THIS MIGHT BE HELPFUL

RELATED COURSES This tutorial is part of the following courses

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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