SAS: Artificial intelligence will always require human intervention

The European Commission presented the first on 21 April legal framework for artificial intelligence (AI), which will address AI risk issues, making Europe a leading player globally. The question of the responsible use of artificial intelligence and the risks posed by excessive autonomy is increasingly being raised.

The concept of “responsible AI” refers to the way in which organizations use technology and whether they adhere to principles that contribute to the community, concerning the protection of individuals and their fundamental rights, and the reliability of AI implementation in general.

The use of AI must be impartial, but it is necessary to make clear guidelines that need to be applied. Careful measures, standards and best use practices need to be carefully defined so that all employees in companies using these technologies know what is expected of them.

Although the possibilities of AI are practically limitless, that does not mean that borders should not exist. It all comes down to the familiar discussion of “can” versus “should”. To this end, a rapidly evolving regulatory environment will provide businesses with legal parameters on how they can use AI. Companies must act responsibly to establish guidelines and principles on what they can and cannot do with data.

Understanding bias

The principle of bias has come into the public spotlight with the racial and gender bias of the facial restraint system. Technology giants like IBM and Amazon-a have suspended or completely withdrawn from use their face recognition systems based on AI algorithms. Image
Olivier Penel, Strategic Analytics Advisor at SAS

There must be impartiality of the decisions made and this must be taken into account during the data life cycle. Companies need to reduce the risk of bias. They must be proactive in selecting the data sets that train the models to be representative of the population for which the AI ​​system will be used.

Human intervention

When it comes to “responsible AI”, the most important thing is to put a person in the equation. There is a difference between automated decision making and assisting in the decision making process. Companies need to create a structure for the use and application of AI keeping in mind a people-focused approach.

It is very important that “responsible AI” is applied from the very beginning, and not as a subsequent idea. Attempts to add to already implemented solutions are much more complicated and expensive, and probably require a complete redesign of existing models. It is better to set things up right from the start. Image

The success of AI implementation comes from the partnership of humans and algorithms. The appropriate level of human oversight largely depends on where it is used. Customize ads on Web location does not require much human intervention, but decision support in the areas of health care or justice is much more critical because of the potential impacts on individuals and will require a different combination of analytical insight and human input.

Artificial intelligence can bring enormous benefits to people, the environment and society as a whole, but it cannot act autonomously. It should serve our needs and it is essential that people be part of the equation. After all, one of the biggest risks is just thinking about what could go wrong and not considering all the benefits that technology can bring.

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Author: Jelena Stanković

Source: PC Press by

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