Machine Learning And Artificial Intelligence: Essential Guide To Understanding How ML And AI Can Be Applied In Practice And Be Compatible With Human Behaviour In Modern Times. by Chris Neil

Author:Chris Neil [Neil, Chris]
Language: eng
Format: azw3, epub
Published: 2020-01-30T16:00:00+00:00

Chapter 7 Ethics of Artificial Intelligence

Artificial intelligence has become a phenomenon in the present times because of the many benefits associated with it. In the business world, there are both benefits and risks that are associated with Artificial Intelligence. Businesses are making use of AI programs with the aim of improving their business results, profitability and productivity. The application of solutions driven by Machine Learning and Artificial Intelligence applications has become a very common practise. However, this doesn’t mean that it is all smooth sailing for businesses using Artificial Intelligence.

There are several risks of artificial intelligence including:

Data Availability

During the phase of Ai implementation, data is often of low quality and inconsistent which makes it difficult to get value from AI.

Skills Shortage

There is the skills shortage problem for businesses trying to implement AI; there could be shortage of technical staff who are experienced. This could translate to extra costs to train employees for the successful operation of AI.

Implementing Artificial Intelligence is costly

Regular updating of software programs is needed to keep AI machines running smoothly. In cases where there is staff shortage, businesses are forced to outsource which is costly. The additional costs incurred in data training models can prove to be very costly especially for small businesses.

Other limitations related to Artificial Intelligence include:

There may be delays in the implementation process depending on the Artificial Intelligence programs being implemented

Misunderstanding the Artificial Intelligence programs which results in integration setbacks

Artificial Intelligence applications may not work well if interacted with other programs

These risks have necessitated the drafting and subsequent implementation of safety, law, general data protection regulation and ethics of artificial Intelligence companies. A framework tasked with the management of Artificial Intelligence ethics has been developed due to the significant risk potential associated with the same.

What are some of the core principles that guide governments, industries and developers in the ethical deployment of Artificial Intelligence driven systems?

Generating net benefits

It’s a must for Artificial Intelligence systems to work by generating benefits for users which overshadow the risks.

Causing no harm

Artificial Intelligence must be designed in such a way that people won’t be deceived or harmed and negative outcomes must also be minimised.

Legal and regulatory compliance

The systems installed with Artificial Intelligence must adhere to all government obligations, regulations and laws.

Protection of the users’ privacy

Artificial Intelligence systems are compelled to see to it that data is kept confidential and protected. Harmful breaches in data must be prevented when using the AI systems.

Fairness

Individuals, businesses or communities using Artificial Intelligence systems must not be subjected to unfair discrimination. These systems should be implemented in a manner that they are won’t cause unfairness which results from training biases.

Explainability and Transparency

Users must be well informed about how the AI algorithms that are being used affects them. Users must have proper understanding about the data or information that these algorithms use in making decisions.

Contestability

A competent process that can challenge the output or usage of algorithms must be in place since these affects users directly.

Accountability

Organisations and the people responsible for the development and implementation of

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