AI improves intelligence, adapts through progressive learning algorithms, and analyzes more yet deeper data. It also attains farfetched accuracy and gets the most out of a business’ data. And just like all workflows, intelligent systems require the principle of designing them artificially using codes of conduct that we may call “roboethics” or robot ethics.

Thus, what are the set of Ethics that impose themselves as a must to be esteemed when opting for AI?

Keys for responsible implementation of AI systems

AI has massive potential to be weaponized in numerous ways which threaten public safety, security, and quality of life. Privacy and Surveillance are generally deliberated in Artificial Intelligence or Information Technology, which mainly cover access to private data that is identifiable. Such systems leave human intellect far behind. It could potentially undergo recursive self-improvement. By inventing revolutionary new technologies, such super intelligent systems could trigger eradicate war, disease, and poverty. Thus, maintaining high standards in ethical practices while working with data used in AI and machine learning is highly critical.

The following are the questions that might have a broad impact on a company’s brand and reputation, as well as on the lives of customers, employees, and other stakeholders.

Top seven ethical considerations in AI

1. Bias

Some AI systems impacted real business implications and became progressively inherent in facial and voice recognition systems. These systems are susceptible to biases and errors introduced by its human makers. Many biases can occur because of the data used to train the AI systems; for instance, the facial recognition algorithms showcased biases when detecting people’s gender. In other terms due to the nature and availability of data sets, these AI systems might be able to detect the gender of white men more accurately than the gender of darker skin men.

2. Liability

One of the major practical difficulties in AI is a liability. Digital systems are often missing deep-rooted legal protection of rights such as consumer rights, product liability, and other civil liability or protection of intellectual property rights. In other terms, businesses tend to test their digital products on customers without any fear of liability while severely defending their intellectual property rights.

3. Security

Besides good, AI tends to be used sometimes in immoral contexts as powerful as it gets. These systems might be able to cause a lot of damage if used maliciously. Thus, cybersecurity will become mandatory. Data protection has come a long way over the years, and the careful utilization of data in AI implementations must be considered to prevent data theft by detecting, block and securing unauthorized data access while performing extensive behavioral analysis.

4. Human Interaction

It is the start of an age where we will often interact with machines as if they are humans. Artificial bots can channel virtually unlimited resources into building relationships, while, in return, humans are limited in the attention and kindness that they can disburse on another person. However, till what extent should AI affect Human Relationships?

5. Job Displacement

It is clear now that Artificial Intelligence can substitute human intervention. Thus, labor is concerned mostly with automation. As many forms were invented to automate jobs, we could create room for people to adopt more multifaceted roles. Accordingly, we would be moving from physical work to cognitive labor that characterizes both strategic and administrative work in our globalized society in order to boost human work.

6. Wealth Inequality

Our economic systems are based on compensation, and most enterprises are still dependent on hourly work. However, by using AI, an employer would drastically cut down on relying on the human workforce, and by this, revenues will no longer go to people. Subsequently, AI driven company leaders will be greatly reducing costs.

7. Power and Control

Power and Control go beyond data accumulation and direction of attention. Power and Control include the use of information to manipulate behaviors, be it online or offline. Of course, wills to manipulate behaviors are ancient, but they may attain a new level when AI systems are in place.

AI an enabler of Business Continuity with considerations

All these ethical questions might be challenging and may turn AI practices into a flimsy process to deal with. However, it is specious to deny the importance of Artificial Intelligence especially in a time where technology became increasingly an enabler of business continuity.

AI broad analytical tasks create new opportunities in several business sectors and consumer applications. AI partakes numerous yet tangible use cases today that enable corporate revenue growth and cost savings in prevailing sectors. Systems in AI dedicate time to collecting and synthesizing data when it comes to financial services, retail and trade, healthcare, and manufacturing.

AI is substantial since it efficaciously tackles a cavernous set of technical challenges. Although human competences like understanding, reasoning, planning, communicating, and perception, all can be undertaken by software, yet AI leaves more space for employees to complete more complicated tasks. Machines open for new horizons in job employment and give the opportunity for different jobs that require human intervention, to see the light. Moreover, confidentiality or data protection make their way to the heart of AI, whereby, the most important asset in any business relies on its information or what we might refer to as personal data. Thus, choosing deliberately the right smart system for your business is a delicate process.

At Intalio, all our digital transformation products are completed with our AI suite adapted for various business sectors while carefully handling customer data with complete confidentiality.

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