Technical presentation using PowerPoint/UFC Mostaganem, Artificial Intelligence's Impact on Privacy, Bias, and Social Equity

Technical presentation using PowerPoint/UFC Mostaganem

Subject : « Artificial Intelligence's Impact on Privacy, Bias, and Social Equity »

1)-Content :

• Welcome, everyone, to our presentation on the ethical implications of artificial intelligence, where we'll examine its significant impact on our lives and explore key ethical considerations: Privacy, Bias, and Social Equity.

• "Greetings, everyone. Today, I'm excited to delve into a topic that has become increasingly crucial in our rapidly evolving technological landscape.

Now, you might wonder, why this topic? As we witness the transformative power of AI, it's essential to pause and reflect on the ethical implications that accompany this revolution. Choosing this topic stems from a deep belief in the necessity of a balanced exploration of AI's potential and the responsibility it places on us as developers, users, and decision-makers."

Significance of the Topic: "AI is no longer a concept confined to science fiction; it's woven into the fabric of our daily lives”

As we navigate the future of technology, it's crucial to understand the impact of AI on privacy, the risk of bias in algorithms, and its role in shaping social equity. In this presentation, we'll explore the rise of AI, privacy concerns, biases in algorithms, and the complex link between AI and social equity.

While bias in AI is often perceived as a technical issue related to algorithms and data, it's not limited to just technical factors. The National Institute of Standards and Technology (NIST) report acknowledges that a significant portion of bias in AI actually originates from human biases and systemic or institutional biases.

Bias in AI systems is often seen as a technical problem, but the NIST report acknowledges that a great deal of AI bias stems from human biases and systemic, institutional biases as well.

Artificial Intelligence is rife with contradictions. It is a powerful tool that is also surprisingly limited in terms of its current capabilities.

A myriad of data sources, including images, text, and sensors, converge as the lifeblood entering the AI brain, shaping its understanding.

The AI's decision-making process unfolds, revealing results and choices, with a spotlight on the sensitivity of information, emphasizing the impact on privacy and ethical considerations.

Artificial Intelligence, or AI, is the simulation of human intelligence in machines. Its rapid evolution is transforming various industries, from healthcare to finance, revolutionizing the way we live and work.“

Privacy: AI poses both risks and opportunities for protecting personal privacy.
Bias: Algorithmic biases risk reinforcing social inequalities without fair checks.
Social Equity: Fair distribution of AI's benefits is vital to avoid increasing social disparities.

As AI systems become integral to our lives, handling sensitive user data raises significant privacy concerns, highlighted by recent breaches

"AI thrives on data, but how does it handle sensitive user data, from healthcare to finance?"

"AI frequently handles private information, challenging the balance between tech progress and personal privacy."

Recent years have witnessed a surge in privacy breaches, where unauthorized access to personal information has compromised the confidentiality of users. These incidents serve as stark reminders of the vulnerabilities within AI systems."

- "High-profile cases have underscored the need for robust measures to protect user data, prompting a reevaluation of how we approach privacy in the age of AI."

it's essential to recognize that progress should not come at the expense of privacy.

We can build trust in AI and protect privacy rights

AI can either reinforce or challenge social inequalities. Let's explore."

Existing Frameworks:"There are existing ethical frameworks for AI development

- Influences on Privacy, Bias, and Social Equity

We'll discuss potential challenges and opportunities in creating responsible AI systems, emphasizing the role of stakeholders in shaping an ethical AI landscape."

Trajectory of AI Ethics: "Looking ahead, we'll explore the future trajectory of AI ethics

In summary, we've explored the ethical dimensions of AI, from privacy concerns to bias and social equity. It's clear that ethical considerations must be at the forefront of ongoing AI development. Let's collectively commit to responsible AI innovation

2)-Files links :

· Files Powerpoint:

1. Lien 1 https://www.mediafire.com/file/0e0wtqxm2i1u4fy/Présentation+oral.pptx/file

2. Lien 2 https://docs.google.com/presentation/d/1PmLaUVIIF3AomNizqnvDNDMNY6Vzp-Wr/edit?rtpof=true

3. Lien 3

https://docs.google.com/presentation/d/1PmLaUVIIF3AomNizqnvDNDMNY6Vzp-Wr/edit?usp=sharing&ouid=108121422556392161198&rtpof=true&sd=true