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Human-centered AI is an emerging concept. In this blog, we will divert our attention to the examples of human-centered AI.
It was in the mid-’90s when Alexa and Siri came into existence. And when we look at the present, it seems ages since we have started using these cutting-edge technologies in our day-to-day lives. These technologies have made such an enormous impact on our lives that we can hardly live without them now.
This is where the concept of human-centered AI comes into the picture. It helps you to scrutinize data through the lens of human behavior. This, in turn, enables organizations to understand their customer base in a much more effective manner.
With time as this technology grows and becomes a huge part of our daily lives, the future of human-centered AI is looking promising than ever before.
Here is a list of human-centered AI examples people have started using in their daily routines.
Several global organizations have been called out for biases when hiring in recent times, these biases could range from gender, race, disabilities, and more. Despite the growing emphasis on diversity when hiring, there is always the problem of unconscious human bias, which can make the process unfair. However, this bias can be eliminated with human-centered AI and thus fill up the diversity gap.
Companies can successfully eliminate the bias from hiring by using solely job-relevant data as the basis for decisions. This way, hiring managers and recruiters may also be better equipped to prioritize diversity and develop a more inclusive hiring process within their firms. Additionally, by highlighting and eliminating terms that may exclude certain populations, AI software can examine job descriptions to avoid unconscious gender or racial biases.
Remember the times when ads were designed to let people know about a brand? Well, those days are long gone. Now are the days where ads are designed to converse with people, and human-centered AI is doing exactly that!
With AI-powered conversational ads, it is possible to have meaningful, personalized conversations between brands and customers. Additionally, these adverts come with actionable options (call to action) to take the conversation further. Thus, AI-powered conversational ads enable digital marketers to broaden their horizons beyond static and video display assets. This, in turn, increases direct-to-consumer interactions to foster new paths to purchase without navigating to a third-party site. Now is the time for these AI-powered conversational ads, and not making the most of them would be a mistake.
For long, call centers have been performance-based, depending on a combination of well-thought scripting and close supervision to reduce call times and maximize first-call resolution. AI makes it possible to do this in that may have been impossible otherwise.
Instead of wasting time and eventually assigning a human agent to the customer on the call, human-centered AI enables smart call centers that can contribute value and answer consumer needs. AI revolutionizes the modern call center by delivering real-time feedback on customer reaction, predictive analytics to determine when intervention is required, and in-depth call data analysis to improve call matching and overall performance.
Healthcare is not just data-intensive; it also has a steady requirement for ways that enhance and speed up its processes. This has been possible with human AI. Human-Centered AI is bringing newer efficiencies to the world of healthcare and is thus simplifying the lives of patients, doctors, and other healthcare professionals.
For instance, AI can evaluate enormous amounts of healthcare data in the form of photographs, clinical research trials, and medical claims and can spot patterns and insights that humans typically miss.
Similarly, AI algorithms are being used to identify new drug applications. One recent example of this was the information about using an existing drug for the treatment of COVID19. Additionally, there are several other ways the healthcare industry can advance and accelerate productivity.
Embracing the power of human-centered AI to bring new efficiencies and enhancements to the healthcare industry is of significant help to both healthcare administrators as well as patients.
Cars that do not need a driver! This was a fascinating thought a decade ago, but today, it is a reality that we are witnessing. There has been a lot of improvement in how cars are driven ever since the introduction of autonomous cars. Automotive artificial intelligence is fast getting rid of the need for human drivers by enabling self-driving cars that utilize sensors to acquire data about their environment. In 2020, global car manufacturers were already releasing self-driving taxis and LiDAR technologies to see and going forward. we will get to see a lot more.
The last couple of years has been crucial for remote learning – a mode of learning that touched new heights since the onset of the pandemic. AI has been playing a critical role in teaching and e-class experiences. For instance, by automating repetitive tasks, assessing student performance, and eliminating the educational gap, AI can help educators save up time. Teachers and lecturers can tailor their courses to fill up significant knowledge gaps or issue areas before a student falls too far behind by understanding each student’s particular needs.
Artificial intelligence advancements have enabled the creation of smart devices to assist people in overcoming both physical as well as cognitive disabilities. With technologies such as image and facial recognition, life is becoming easier for people with visual impairments. Similarly, text summarization technologies make life easier for people with mental impairments. However, the capabilities that AI brings aren’t limited to this.
With artificial intelligence, technology adapts and helps transform the world into a more inclusive one. There is a sense of equality, as AI places everyone on an equal footing, with or without handicap.
Personalized learning using AI is an approach that focuses on generating training to match the individual needs of each student. For educators, AI technology helps predict the learning outcomes, allowing them to create personalized content to each learner’s goals and previous success. For students, human-centered AI can help them create personalized learning platforms.
There is growing emphasis on the transition to renewable energy across the globe. While this may not seem obvious, we will need human-centered artificial intelligence (AI) technology for this. Human AI plays a leading role in managing decentralized grids. AI can optimize energy use, balance electricity demand and supply requirements in real-time, and manage its storage to reduce costs.
AI can unlock the tremendous potential of renewables, thanks to other developing technologies such as big data, the internet of things (IoT), sensors, big data, and distributed ledger technology. For instance, attaching sensors into gas turbines and then connecting them to AI data-processing systems can help gather information to adjust fuel valves and thus ensure low volumes of emissions. AI also helps produce smarter decisions to reduce environmental impact. Considering all this, if the renewable energy sector does not venture into human AI, there are good chances for it to fall behind.
The technologies are already being used for fraud detection, network intrusion detection, and prevention, spam filter applications, botnet detection, hacking incident forecasting, and secure user authentication.
In addition to this, it is possible to train human-AI systems to detect malware and ransomware attacks before they enter the system. AI comes with several predictive functions, which make it surpass the speed of the conventional approaches.27
These are some examples of human-centered AI that are taken over the globe with a storm. We can no longer live without this amazing technology. And the way this cutting-edge technology is evolving, we will see a more promising future as the years roll by!
Shivani is a talented CS manager with the skillsets to elicit, scope and manage end-to-end B2B SaaS project delivery. She has a keen interest in depicting her learnings in customer success by writing resourceful blogs and articles.
Published 13 Jan 2022, Updated 4 Aug 2022
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