Developments in artificial intelligence (AI) are leading to fundamental changes in the way we live. Algorithms can already detect Parkinson's disease and cancer, and control both cars and aircraft. How will AI change our society in the future?

This documentary journeys to the hot spots of AI research in Europe, the USA and China, and looks at the revolutionary developments which are currently taking place. The rapid growth of AI offers many opportunities, but also many dangers. AI can be used to create sound and video recordings which will make it more and more difficult to distinguish between fact and fiction. It will make the world of work more efficient and many professions superfluous. Algorithms can decide whether to grant loans, who is an insurance risk, and how good employees are. But there is a huge problem: humans can no longer comprehend how algorithms arrive at their decisions. And another big problem is AI’s capacity for widespread surveillance. The Chinese city of Rongcheng is already using an AI-supported 'social credit system' to monitor and assess its citizens. Does AI pose a danger to our personal freedoms or democracy? Which decisions can we leave to the algorithms - and which do we want to? And what are AI’s social implications?

A documentary by Tilman Wolff und Ranga Yogeshwar

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Artificial intelligence or A.I is vital in the 21st century global economy. The development of A.I algorithms have made automation critical in almost every field of technology. As we make technological progress, one day, we will eventually have the capacity to build a super intelligence or Artificial general intelligence commonly known as A.G.I. But before that day comes, we have to solve the A.I alignment problem. The development of autonomous weapons seems like a step backwards of that goal. Humanity has to solve the A.I control problem if we want to survive. An A.G.I might decide to exterminate us if it sees us as a threat to its existence. In this video we explain the current development of A.I systems which will lead inevitably to the rise of an artificial general intelligence.

#A.G.I #A.I #artificialintelligence

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Sources: "The Davinci Surgical System":https://www.davincisurgery.com/da-vinci-systems/about-da-vinci-systems##
"U.S Job Losses":https://evonomics.com/what-will-happen-to-truck-drivers-ask-factory-workers-andrew-yang/

Music Credits:
CO.AG Music https://www.youtube.com/channel/UCcavSftXHgxLBWwLDm_bNvA
SoundTrack 1: "This Digital World We Live In" https://www.youtube.com/watch?v=OaH7YRfnexA
SoundTrack 2: "The Discovery of the Future": https://www.youtube.com/watch?v=f9WOpAWmLiY

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This edureka video on Artificial Intelligence will help you understand the concept of AI and how it is used in the real world to solve complex data driven problems. The following topics are covered in this video:
1. What Is Artificial Intelligence?
2. Types Of Artificial Intelligence
3. Applications Of Artificial Intelligence

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About the Masters Program

Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

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Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning

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Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:

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