Axcel Beck

Human-centered AI is meant to learn from human collaboration and inputs while emphasizing algorithms that have existed among a greater, human-based system. This technology is defined by systems that are improving consistently due to human inputs while delivering a competent experience between robots and humans. As businesses and technology providers work together to develop transformational AI systems, it is imperative to consider the human element. Balancing the machine-human equation, and powering a complementary relationship between AI and the people using them necessitates an infusion of behavioral science into the system.

By developing machine intelligence to gain an understanding of human behavior, emotion, and language, human-centered AI is known to push the boundaries of previously limited AI solutions, while trying to bridge the gap between humans and machines.

When it comes to the point of view of a business, human-centric AI systems tend to leverage thick data and human science to gain an understanding of the deeper drivers, aspirations, and needs that motivate customer behavior in the market. Human science and data are combined by advanced contextual analytics to deliver personalized and dramatically improved customer experiences.

 

Business Advantages of Human-centric AI

 

► Informed decision making: The key aim of human-centric AI is not to entirely replace human beings, but to boost their capabilities with the help of intelligent and human-informed technology. With the help of its combination of human input and values with the precision of machine learning, human-centric AIs significantly help businesses to make better-informed decisions and formulate clear solutions and strategies for discerning challenges. There can be several applications of human-centric AI in the contemporary business environment, right from its marketing process to the recruitment system.

► Scalability and reliability: Human-centric AI uses the abilities of humans as thinkers and enables their ideas to scale in order to serve much more expansive data requirements. The core purpose of AI is to help humans; however, without proper human understanding and inputs, it cannot fully utilize its potential. Maintaining a human-centric approach tends to put a lot of computational heavy lifting on the shoulders of technology, subsequently leveraging cognitive and emotional input from human beings. Such a system allows for the expansion of information and processes on a greater scale, without making compromises on the integrity of data or increasing the expenses on human resources.

► Superiorly successful product and software building: Developers and product designers tend to apply principles of behavioral science to technology with the help of human-centered AI. This enables them to tap into user subconscious patterns and behavior to develop services and products that deliver more enriching, informed, and satisfying experiences.

 

Usage of Human-Centric AI in the Hiring Process

The usage of AI-enabled recruitment tools and platforms has accelerated significantly in the post-COVID-19 pandemic industry. While these tools certainly made the hiring process much faster, there are also many cases where they were misapplied and led to serious concerns. For example, the Tay chatbot of Microsoft repeated hurtful and racist messages that it had learned from its users. On the other hand, there are facial recognition technologies that claim to detect violence or danger before they can commit a crime or can identify high achievers in a talent pool. If such AI-enabled tools are not 100% accurate, they ultimately can cause a lot of harm.

Conversely, when AI platforms and tools are developed while maintaining a human-centric approach, the system can augment the talent management and hiring processes with advantages like real-time candidate feedback, bias control, recruitment process consolidation as well as support for better job suitability.

 

Progressing Towards Human-Centric AI for Recruitment

An upwards trend towards the use of human-centric AI for recruitment has already been witnessed post-pandemic and is expected to pick up a superior pace in the year. Here are two prime steps that organizations can take to incorporate human-centric AI for recruitment:

Firms should develop internal policies around the approach of their company towards human-centric AI in recruitment. The procedure of adequately defining such policies shall boost conversation opportunities and align leadership commitment towards this process.

Companies should try to work alongside technology partners who have demonstrated their commitment towards human-centered AI and are dedicated to the ethical use of AI in the hiring process. These technology firms should focus on developing AI systems in a transparent and verifiable manner.

 

Final Word

Formal regulations and policies in regards to the usage of AI in the corporate environment are likely to expand in the coming days, which subsequently shall further encourage the use of human-centric AI for recruitment. Forward-thinking firms can get ahead of the curve by beginning to put their internal policies in place and working with technology partners aligned with those policies. As AI is expected to evolve and expand in the professional lives of people in the future, committing to human-centric AI shall be a smart investment for any firm.