Artificial Intelligence & Data Science
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Artificial Intelligence: Ethics & Societal Challenges

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Course Features

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Duration

13 hours

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

1 hour per week

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Teaching Type

Self Paced

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Video Content

13 hours

Course Description

The course Artificial Intelligence: Ethics and Societal Challenges covers the ethical and social aspects of increasing usage of artificial intelligence technologies (AI). It is four weeks long. This course aims to increase awareness about ethical and social aspects of AI, and encourage reflection on the implications of AI's use in society. Each module is approximately one week long and each represents a part of the course. Each module contains a series of readings and lectures. Every lesson ends with a compulsory assignment. Here you must summarize the key knowledge/insights you have gained in this lesson. You can also review another participant's lesson summary. These assessments encourage reflection and learning, as well as encouraging students to reflect on the ethical and social implications of AI. Forum discussions are voluntary, but highly encouraged.

We will be discussing algorithmic biases and surveillance in the first module. Are algorithms purely rational and unaffected by human biases? If so, how can they be improved and why are we being subject to it? While AI makes surveillance easier in many cases, what does this mean for us?

The impact of AI and democracy will be discussed next. The importance of democracy will be discussed. We'll discuss how AI can hinder democratic debate, as well as how AI can improve democracy. For instance, we will discuss the role that social media can play in authoritarian regimes' hands and offer some suggestions on how AI tools could be used to improve democracy's functioning.

Another ethical concern is whether AIs could benefit from our approach to AI. Is it possible for artifacts to be aware? What does it even mean to be conscious? How does consciousness relate to intelligence? This week's topic is Week 3.

We will discuss control and responsibility in the final module. Who is responsible if an autonomous vehicle hits an autonomous robot? Who is responsible for ensuring that AI is safe and democratically developed?

This is the final question in the course and perhaps the most important for us as a species: how do we control intelligent machines? We have a lot of control over the environment we live in because of our intelligence. Is it right to give this power away? If so, what are the best ways to keep control of our world?

You will be able to say that you have completed the course.

* A basic overview of AI bias and its role in surveillance.

* Basic understanding of AI's importance and familiarity with the common problems with AI-related democracy.

* An understanding of complexity and familiarity with the common methods of creating artificial consciousness.

* Basic understanding of concepts such as aforward-lookingaand abackward looking responsibilitya, and familiarity with the problems associated to AI application.

* An introduction to the AI control problem and familiarity with common solutions.

* and the ability to reflect on and discuss ethical and social aspects of these topics.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

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