The Blend Between Human and Artificial Intelligence in Decision Making Processes

There has been an unending debate on the superiority levels between the human intelligence and artificial intelligence – In 1997, the IBM computer beat Garry Kasparov, a renowned chess grandmaster in the best of six chess series game. As far as human intelligence is concerned, It is a known fact that humans have been evolving ever since.

The win was the first demonstration of the strengths of the artificial intelligence also known as machine intelligence. But wait, is the machine chess player better than the human player? Or the human chess player better than the machine chess player? The answer to both questions is a no. The best chess player is a combination of the two, the human element and the machine element of the player.

So, what is the optimal, human-machine combination? As you will note, the best computer-human players are not composed of the best machines and humans in the industry. No, it is the combination of the human element that understands the potential strengths and weakness of the device. The kind of understanding here is essential in other organization decisions, especially when the decision involves staffing.

Why a Blend of Human and Artificial Intelligence to meet Staffing Needs?

1. Improve Quality Decision Making

As of now, no artificial intelligence system is full proof on its own. These systems are essential in designing and identifying patterns that deliver quality results. These models would be complicated to unravel on without the help of these machine interactives.

However, decision making in an enterprise follows a guided policy. The AI may help determine the optimum hiring channel, but it won’t offer a solution on how the channels alter the hiring patterns and the budget. A human component has to be the one to make this call.

2. Increase the Opportunities

Most business people think of building and selling an AI-based product to the market. Unfortunately, they are unable to focus on the key points of business existence. Businesses exist to maximize wealth and satisfy the needs of their clients.

An artificially intelligent business will prioritize actionability through incorporating the insights of various clients in the final decision-making process. The best solutions need to be found from the minimal available raw data. The resolutions reached from this process need to be enough to improve pattern recognition and raise the efficiency of the entire process. Obtaining this optimum balance is no easy task.

3. Assess the Data

If you opt for an AI-based solution, the focus should shift to the amount of information to derive from the available data. Look at the resolution you intend to make. Assess whether it needs to be customized or it is generic.

When analyzing data, remember some variables need to be accounted for, and others need to be held constant. The quality of results you get depends on your ability to analyze these two crucial aspects of the exercise.

4. Check the Various Staffing Needs

When hiring, it is essential to assess each person depending on the position they’ve applied for. Remember, the different roles in business are not similar.

At Fama consultancy, recruiters and hiring managers are exposed to best hiring practices. These include subjecting applicants to the same criteria of customized interpretation and adjudication criteria by a firm unit or department. The use of Fama’s automated social media screening approach helps managers and human resource departments develop and identify crucial indicators of performance at the workplace. These then form the basis of either hiring or regretting the applicant.

*This is a collaborative post*