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Project by: Alba Serena

The Impact of Algorithms on Our Daily Lives

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An algorithm is a set of instructions or steps designed to perform a specific task. They are present in many aspects of our daily lives, although we may not always be aware of them.

What are Algorithms?

Algorithms in Technology

Recommendations

Platforms like Netflix and Spotify use algorithms to suggest movies, shows, or songs based on our history

Search Engines

Social Media

Google uses algorithms to sort and display the most relevant results based on our searches.

Algorithms determine the content we see ( Facebook, Instagram). They use algorithms to show posts based on our behavior (likes, comments, searches).

Algorithms and Personal Decisions

Algorithms are also used in medicine to predict diseases, recommend treatments, and assist in diagnoses

Healthcare

Banking and personal finance apps use algorithms to predict our behavior and offer financial advice or alerts.

Algorithms in Finance

Algorithms collect data about our preferences and behaviors, which can jeopardize our privacy.

Impact on Privacy

Siri, Alexa, and Google Assistant use natural language processing algorithms to understand our questions and provide answers.

Google Maps and Waze use algorithms to calculate optimal routes and avoid traffic, making real-time decisions.

Virtual Assistants

Navigation

Algorithms personalize product recommendations on Amazon, eBay, etc., based on our purchasing behavior.

Algorithms in Everyday Life

Online Shopping

Dependence

Bias in Algorithms

Lack of Transparency

Improved Decision-Making

Personalization

Efficiency and Speed

Disadvantages and Challenges

Advantages of Algorithms

The advancement of artificial intelligence (AI) and machine learning will lead to more sophisticated and accurate algorithms with greater implications for daily life. More regulation and control are expected regarding how algorithms collect, use, and share our data.

The Future of Algorithms

Algorithms are deeply integrated into our daily lives and have the potential to improve efficiency and personalization in many aspects. However, it is crucial to be aware of their potential biases and challenges and promote transparency and ethics in their development.

Conclusion