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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Objectifs :

This document aims to explore the impact of artificial intelligence on society, particularly focusing on the implications of generative AI and deep fakes in the business world and beyond. It highlights the vulnerabilities that arise from misinformation and the importance of countermeasures to restore trust.

Chapitres :

  1. The Rise of Generative AI
    Artificial intelligence is transforming our world in unprecedented ways. Generative AIs have exceeded our expectations, now capable of composing melodies akin to those of great musicians, writing articles in the style of renowned journalists, reproducing voices of our favorite actors and singers, and generating faces and videos that appear strikingly realistic, as if they were straight out of a Hollywood movie. What was once confined to the realm of science fiction is now manifesting in real life through applications like DeepMind, GPT-4, and MidJourney.
  2. The Controversy of Deep Fakes
    Deep fakes represent one of the most controversial applications of AI technology. Imagine a video of a prominent figure making a sensational statement that they never actually made. In a society that heavily relies on visual and auditory information, the consequences of such misinformation can be catastrophic. Businesses are particularly susceptible; a single manipulated video can instigate a financial crisis, tarnish years of branding, or create chaos among shareholders and customers.
  3. The Case of Tesla: A Lesson in Misinformation
    A notable example illustrating the vulnerability of businesses to misinformation is the case of Tesla in 2018. In August of that year, Elon Musk, CEO of Tesla, tweeted about considering taking the company private, claiming he had secured funding. This tweet caused Tesla's stock price to surge by over 10%. However, it was later revealed that Musk did not have a concrete plan or secured funding. The SEC (Securities and Exchange Commission) subsequently sued Musk for misleading investors. While this incident did not involve deep fakes, it underscores how a single statement—true or false—can significantly impact a company's stock price, reputation, and investor trust.
  4. Potential Consequences of AI-Generated Misinformation
    Translating this scenario to the realm of AI-generated content, one can envision the dire consequences if a fabricated video of a major company's CEO were to surface, falsely announcing disruptive news. Financial markets could react impulsively, often before verifying the authenticity of the statement. On a societal level, the stakes are even higher; elections could be manipulated, tensions could escalate, and families could be torn apart by conflicting narratives. When the line between information and misinformation blurs, the very foundation of our democracy is challenged.
  5. Countermeasures Against Misinformation
    Despite these challenges, there is hope. Journalists, researchers, and technologists are diligently working to detect and combat these forgeries. They are developing tools to identify deep fakes, educating the public on how to recognize warning signs, and striving to restore trust in an era characterized by post-truth. We find ourselves at a critical juncture; as technology advances, we must progress alongside it—always informed, vigilant, and prepared to distinguish truth from fiction.

FAQ :

What is generative AI?

Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, or music, based on the patterns it has learned from existing data.

How can deepfakes impact businesses?

Deepfakes can severely impact businesses by spreading misinformation that can lead to financial crises, damage reputations, and erode trust among customers and investors.

What are some examples of deepfake technology?

Examples of deepfake technology include videos that convincingly portray individuals saying or doing things they never actually did, such as a CEO making false announcements.

What measures are being taken to combat misinformation?

Journalists, researchers, and technologists are developing tools to detect deepfakes, educating the public on how to identify misleading content, and working to restore trust in information sources.

What was the Tesla incident in 2018?

In 2018, Elon Musk tweeted about taking Tesla private, which led to a surge in stock prices. However, it was later revealed that he did not have a concrete plan, resulting in a lawsuit from the SEC for misleading investors.

Quelques cas d'usages :

Corporate Communication

Businesses can utilize generative AI to create engaging content for marketing and communication. However, they must also be vigilant against deepfakes that could misrepresent their messages or executives.

Crisis Management

In the event of misinformation spreading about a company, organizations can implement rapid response strategies to clarify facts and restore trust, using AI tools to monitor and analyze public sentiment.

Media and Journalism

Journalists can leverage AI tools to fact-check information and identify deepfakes, ensuring the integrity of news reporting and helping to educate the public on recognizing misinformation.

Financial Analysis

Investors and analysts can use AI to assess the credibility of information before making decisions, particularly in volatile markets where misinformation can lead to significant financial losses.

Political Campaigning

Political organizations can use generative AI to create campaign materials but must also be aware of the risks posed by deepfakes that could distort candidates' messages or actions.

Glossaire :

Artificial Intelligence (AI)

A branch of computer science that aims to create machines capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and making decisions.

Generative AI

A type of artificial intelligence that can generate new content, such as text, images, or music, based on the data it has been trained on.

DeepMind

A British artificial intelligence company known for its work in deep learning and reinforcement learning, particularly in developing AI systems that can play complex games.

GPT-4

The fourth iteration of the Generative Pre-trained Transformer model developed by OpenAI, capable of understanding and generating human-like text.

MidJourney

An AI program that generates images from textual descriptions, allowing users to create visual content based on their ideas.

Deepfakes

Synthetic media in which a person’s likeness is replaced with someone else's, often used to create realistic but misleading videos.

Securities and Exchange Commission (SEC)

A U.S. government agency responsible for enforcing the laws concerning the trading of securities and protecting investors.

Misinformation

False or misleading information spread regardless of intent to deceive, which can have serious implications in various contexts, including business and politics.

Post-truth era

A cultural and political context in which public opinion is shaped more by emotions and personal beliefs than by objective facts.

résultat(s)
00:00:04
Artificial intelligence is shaping our
00:00:05
world in ways we never could have imagined.
00:00:09
Generative AIS have
00:00:10
transcended our expectations.
00:00:12
Today, they can compose melodies
00:00:14
similar to those of great musicians,
00:00:16
write articles in the style
00:00:18
of renowned journalists,
00:00:19
reproduce voices evoking our
00:00:20
favorite actors and singers,
00:00:22
and generate faces and videos so
00:00:24
realistic they seem like they're
00:00:25
straight out of a Hollywood movie.
00:00:27
What was once relegated to the
00:00:29
pages of science fiction novels is
00:00:31
now coming to life before our eyes
00:00:33
through applications like DeepMind,
00:00:35
GPT 4, or Mid Journey.
00:00:38
Deep fakes are among the most controversial
00:00:40
applications of this technology.
00:00:42
Imagine a video of an influential
00:00:44
personality making an explosive statement.
00:00:46
Except this statement was never made.
00:00:48
In a world where we rely
00:00:50
on what we see and hear,
00:00:51
the implications can be devastating.
00:00:53
Businesses are particularly vulnerable.
00:00:55
A single doctored video can
00:00:57
trigger a financial crisis,
00:00:59
ruin years of branding, or sow chaos
00:01:02
among shareholders and customers.
00:01:04
But it's not just about money.
00:01:05
Trust, once lost, is hard to restore.
00:01:09
In an interconnected corporate world,
00:01:11
misinformation can quickly go viral,
00:01:13
affecting not just one company,
00:01:15
but an entire industry.
00:01:17
One of the most striking examples
00:01:19
that can illustrate the vulnerability
00:01:21
of businesses to misinformation is
00:01:23
the case of Tesla in 2018.
00:01:26
In August 2018, Elon Musk,
00:01:28
CEO of Tesla, tweeted that he was
00:01:31
considering taking Tesla private
00:01:32
and that he had funding secured.
00:01:35
This statement led to a surge in
00:01:37
Tesla stock price of over 10%.
00:01:39
However, it later turned out that
00:01:41
Musk did not have a concrete plan
00:01:43
or secured funding for such a move.
00:01:45
The SEC Securities and Exchange
00:01:47
Commission then sued Musk
00:01:49
for misleading investors.
00:01:50
Although this is not a direct
00:01:53
example of a deep fake or
00:01:55
AI generated misinformation,
00:01:56
it shows how a single statement,
00:01:58
whether true or false,
00:02:00
can have major repercussions
00:02:01
on a company's stock price,
00:02:03
reputation, and investor trust. Transposing
00:02:07
this to the A is ability
00:02:08
to create fake content.
00:02:10
One can imagine the potential
00:02:12
consequences if, for example, adopted
00:02:14
video of a major company's CEO were
00:02:17
released falsely announcing disruptive news.
00:02:19
Financial markets could react
00:02:21
before even verifying the
00:02:23
authenticity of the statement.
00:02:24
On a societal level,
00:02:26
the consequences are even greater.
00:02:28
Elections can be rigged.
00:02:29
Tensions can be exacerbated.
00:02:31
Families can be divided
00:02:33
by contradictory truths.
00:02:35
When information becomes
00:02:37
indistinguishable from misinformation,
00:02:38
the very structure of our
00:02:40
democracy is put to the test.
00:02:42
But it's not all doom and gloom.
00:02:44
There are countermeasures.
00:02:45
Journalists, researchers,
00:02:47
and technologists are working tirelessly
00:02:49
to detect and combat these forgeries.
00:02:52
They are developing tools to identify
00:02:55
deep fakes, educating the public
00:02:57
on how to spot telltale signs,
00:02:59
and attempting to restore
00:03:00
trust in the post truth era.
00:03:03
We are at a crossroads.
00:03:05
Technology is advancing and
00:03:06
we must move forward with it,
00:03:09
always informed,
00:03:10
always vigilant,
00:03:11
and always ready to discern
00:03:14
truth from fiction.

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résultat(s)
00:00:04
A inteligência artificial está a moldar a nossa
00:00:05
mundo de maneiras que nunca poderíamos ter imaginado.
00:00:09
Os AIS generativos têm
00:00:10
transcendeu as nossas expectativas.
00:00:12
Hoje, podem compor melodias
00:00:14
semelhantes aos de grandes músicos,
00:00:16
escrever artigos no estilo
00:00:18
de jornalistas de renome,
00:00:19
reproduzir vozes que evocam a nossa
00:00:20
atores e cantores favoritos,
00:00:22
e gerar rostos e vídeos assim
00:00:24
realistas, parecem ser
00:00:25
saído diretamente de um filme de Hollywood.
00:00:27
O que antes era relegado ao
00:00:29
páginas de romances de ficção científica é
00:00:31
agora ganhando vida diante dos nossos olhos
00:00:33
através de aplicações como a DeepMind,
00:00:35
GPT 4, ou Mid Journey.
00:00:38
Deep fakes estão entre as mais controversas
00:00:40
aplicações desta tecnologia.
00:00:42
Imagine um vídeo de um influente
00:00:44
personalidade fazendo uma declaração explosiva.
00:00:46
Só que essa afirmação nunca foi feita.
00:00:48
Num mundo em que confiamos
00:00:50
sobre o que vemos e ouvimos,
00:00:51
As implicações podem ser devastadoras.
00:00:53
As empresas são particularmente vulneráveis.
00:00:55
Um único vídeo manipulado pode
00:00:57
desencadear uma crise financeira,
00:00:59
arruinar anos de branding, ou semear o caos
00:01:02
entre acionistas e clientes.
00:01:04
Mas não se trata apenas de dinheiro.
00:01:05
A confiança, uma vez perdida, é difícil de restaurar.
00:01:09
Num mundo corporativo interligado,
00:01:11
a desinformação pode rapidamente tornar-se viral,
00:01:13
não afetando apenas uma empresa,
00:01:15
mas toda uma indústria.
00:01:17
Um dos exemplos mais marcantes
00:01:19
Isso pode ilustrar a vulnerabilidade
00:01:21
das empresas à desinformação é
00:01:23
o caso da Tesla em 2018.
00:01:26
Em agosto de 2018, Elon Musk,
00:01:28
CEO da Tesla, tuitou que estava
00:01:31
considerando tornar a Tesla privada
00:01:32
e que tinha financiamento assegurado.
00:01:35
Esta declaração levou a um aumento da
00:01:37
Preço das ações da Tesla de mais de 10%.
00:01:39
No entanto, mais tarde descobriu-se que
00:01:41
Musk não tinha um plano concreto
00:01:43
ou garantiu financiamento para tal movimento.
00:01:45
A SEC Valores Mobiliários
00:01:47
Comissão processou Musk
00:01:49
para induzir os investidores em erro.
00:01:50
Embora este não seja um direto
00:01:53
exemplo de deep fake ou
00:01:55
IA gerou desinformação,
00:01:56
mostra como uma única declaração,
00:01:58
se é verdadeiro ou falso,
00:02:00
pode ter repercussões importantes
00:02:01
sobre o preço das ações de uma empresa,
00:02:03
reputação e confiança dos investidores. Transpondo
00:02:07
isso para o A é capacidade
00:02:08
para criar conteúdo falso.
00:02:10
Pode-se imaginar o potencial
00:02:12
consequências se, por exemplo, for adotada
00:02:14
vídeo do CEO de uma grande empresa foram
00:02:17
divulgou falsamente anunciando notícias perturbadoras.
00:02:19
Os mercados financeiros podem reagir
00:02:21
antes mesmo de verificar o
00:02:23
autenticidade da declaração.
00:02:24
A nível societal,
00:02:26
as consequências são ainda maiores.
00:02:28
As eleições podem ser fraudadas.
00:02:29
As tensões podem ser exacerbadas.
00:02:31
As famílias podem ser divididas
00:02:33
por verdades contraditórias.
00:02:35
Quando a informação se torna
00:02:37
indistinguível da desinformação,
00:02:38
a própria estrutura do nosso
00:02:40
A democracia é posta à prova.
00:02:42
Mas nem tudo é desgraça.
00:02:44
Há contramedidas.
00:02:45
Jornalistas, investigadores,
00:02:47
e os tecnólogos estão trabalhando incansavelmente
00:02:49
para detetar e combater estas falsificações.
00:02:52
Estão a desenvolver ferramentas para identificar
00:02:55
deep fakes, educando o público
00:02:57
sobre como detetar sinais reveladores,
00:02:59
e tentando restaurar
00:03:00
Confie na era da pós-verdade.
00:03:03
Estamos numa encruzilhada.
00:03:05
A tecnologia está a avançar e
00:03:06
temos de avançar com ela,
00:03:09
sempre informado,
00:03:10
sempre vigilante,
00:03:11
e sempre pronto a discernir
00:03:14
verdade da ficção.

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