Artificial intelligence has grown from its infancy, but is not yet fully mature. Developments in laws and regulations and the wider adoption of AI suggest that 2022 could be a key year: looking ahead.

Artificial intelligence (AI) will continue to receive a lot of attention in the coming year. Ethical AI principles such as reliability, transparency, control, privacy, non-discrimination and fairness remain important, but so does whether AI is only used for the benefit of consumers or citizens. Policies and regulations around the ethical use of technology will assist the responsible use of AI.

Meanwhile, AI is constantly evolving and technology is becoming more and more humane. This also makes it more valuable to the organization. Alright, so, let’s see where this goes with AI. The most important predictions for 2022 in a row:

1. From soft policy to hard regulation

Responsible AI is shifting from ‘soft policy’ to tough laws and regulations, and sticks to equipment in best practice. In recent years, it has become very important for companies and governments to talk about the ethical and responsible use of AI. However, fewer concrete steps are being taken to ensure responsible deployment. By 2022, solid laws and regulations should change that.

For example, the EU has new proposal submitted – here at Netherlands (pdf)) – with laws prohibiting the use of AI if it poses an unacceptable and dangerous risk. Consider, for example, the use of AI for biometric identification such as facial recognition in public places for law enforcement (with a few exceptions), or the unconscious manipulation of vulnerable groups in a way that could cause psychological or physical harm. But also the use of AI for social credit assessment by government agencies, where, for example, responses on social media affect getting a job or credit or voting. Allowed high-risk AI applications are strictly regulated.

The UK also recently released its national AI strategy and the Chinese government announced regulatory proposals in August that go beyond the EU in certain areas. In the future, organizations may not only need to demonstrate ethical compliance and accountability when using AI, but they may also need to demonstrate that using AI benefits customers. Transparency and clear explanations ensure that consumers are convinced and will understand the added value of AI.

2. Eliminate Abuse

Controlled AI deployments must end apps with wrong intentions or wrong approaches. use of responsible AI is becoming a priority for most organizations. As a result, more attention is paid to deletion crime application. Sometimes a conscious choice has been made about the purpose of an AI solution, or the way an AI system is built that is unacceptable. But even more often, problems in AI systems are the result of less-than-conscious choices.

Think of the prejudice against certain groups that infiltrated through the use of bias data, or by using rules based on faulty assumptions. This can be partially addressed by being more disciplined in app development by answering simple questions. This concerns questions such as: What information is contained in the application and why? How does it work? What exactly is being built and why? What is the purpose of an AI system? If a record of what a developer does with ‘high risk’ AI is made a condition for producing something, then AI development becomes more transparent. But this alone is not enough. More automated methods and controls are needed to demonstrate and prevent algorithmic discrimination and to explain automated decisions.

3. 2022: year of AI

2022: the year in which we finally all in continue the AI. After a rather rocky start, AI is now out of its infancy and into puberty. More and more people are realizing that artificial intelligence can really change organizations from within. However, this technology has not been widely adopted.

But now that the myths surrounding AI have been largely dispelled and users have a much better understanding of how to effectively, properly and implement them on a larger scale, the technology is poised to mature. The organization’s ambitious goal of becoming more data-driven and evidence-based translates into manageable automated decisions that drive and optimize every customer interaction and business process.

4. Intelligence of Everything

appearance from Intelligence of Everything makes AI more ‘human’. In the coming year AI will become more and more complete and we will see that AI is more than just a ‘smart’ technology. We also need emotional, creative, and relational intelligence. Humans are not just intellectual beings. It is this other abstract quality that makes us truly human. By seeing and trying to emulate this human aspect through an AI lens, organizations can better assess customers and interact with them in a more natural, empathetic and personal way across all channels.

5. Business tools

AI is more established as a business tool. In recent decades, AI has mainly been used in data science, where technology has been used to recognize patterns in large subsets of data. Next year, the use of AI will no longer be limited to data scientists and statistics, or IT. Technology penetrates the data domainunderstand business users who will use AI for greater agility, better understanding of customers and achieving better results.

About the author: Peter van der Putten is Director of decision making & AI solutions at Pegasystem.

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