This is the area of great debate and both counter opinions are present in the field. The world has made significant progress in the field of AI, which continues to evolve at a rapid pace each day. However, it still seems far away from translating emotion into AI. But, there are quite a few possibilities to achieve it one day.
This guide will try to look into both the possibilities of AI having emotions and AI not having emotions along with the relation and use of Emotional AI. Emotional AI is the bridge between both possibilities, which opens whole new pathways for both opinions. So, let’s start.
Emotion AI Technology Has Great Promise
Can AI Have Emotions? Knowing The Possibilities
Some experts believe that AI can have emotions. As scientists are making great advancements with computers and as a result computers will soon start to stimulate the function of the human brain. As artificial superintelligence has the potential for far more intellectual capabilities and versatility than humans.
But, are there technical constraints that prevent machines from experiencing the full range of human feelings and emotions? and can AI have emotions of its own?
Robots Can Read Human Emotions
Also Read: The Risks of Using AI to Interpret Human Emotions
Intelligent and sentient humanoid robots will walk the streets alongside humans, work alongside humans, socialize with humans, and may one day be considered individuals in their own right. According to AI research, intelligent machines will eventually feel emotions as well as humans. They will experience their own emotions and, hopefully, become self-aware.
Up until now, scientific research has targeted building or found an already existing empathy. Which has made possible some of the use cases of AI. Many machines may have emotions in the future, but they have been successfully identifying human emotions. This branch of AI is known as emotional artificial intelligence, which this guide will dig into later. But till now, let’s get back to the tract of humans and robots.
Researchers are trying to embed emotions in robots. However, if there may be no reason to expect sentient robots to feel all of the emotions and feelings that humans do, this topic is still interesting to investigate the fundamental differences in how humans and robots feel empathy.
When looking at human history and races, tiny genetic differences between people can cause significant differences in how humans think, feel, and experience the world. If humans appear so diverse when all humans are genetically identical, even across racial groups, how can humans expect robots to feel the same way as biological humans? Only the future can make possible striking similarities between humans and robots, or significant differences on some levels. So, now let’s get a clear answer to the question.
Does AI Have Feelings Now?
No! Not in the current state. AI machines do not have any feelings. Scientists and technology have some success in the area of “artificial intelligence feelings” but are not recognizable.
Only time can unfold the possibilities and provide some answers. Till then, it is fun to speculate about the brilliancies that intelligent robots can achieve in the future. Neuroscience will play a big role if the concept of intelligent robots ever is made possible.
Now let’s get to the other side that says robots can’t have emotions or AI should not have emotions.
Related Article: Emotion Recognition for Human-Robot Interaction
The Risk Of AI Having Feelings
When hot debates are going on about the question- of “can AI have feelings,” the world has already started to suspect the possible danger of AI having feelings.
If robots somehow get good at language and start to process the knowledge of complex relationships, they might have emotions influenced by culture. Just like other natural disasters, it can put the human race in danger. Like humans possess the different emotions of hate, envy, and anger too just like love, passion, and care. Humans may not do too much damage with negative emotions, but robots can do irreversible damage.
Also, another danger that comes to humans is the loss of job opportunities. Even humans have barely the possibility to beat the machine in the job sector at present time. So, imagine what would happen if robots got into the senses of work.
Last but not least, as there are probably more reasons to oppose intelligent robots, robots can make wars more efficient. War can become much more deadly with robots than they are now with humans.
The risk is not negligible, but the possibility is not wrong either. So as mentioned, only the future can tell the tail. Till then let’s know what the world has right now with a possible combination of AI and emotions.
Emotional AI or artificial emotional artificial intelligence deals with determining, analyzing human emotion, and initiating the proper response to achieve a certain or uncertain output.
Machines can be programmed to understand emotions or emotional states by analyzing human facial expressions. They use sensors to measure happiness, stress, or anger-like feelings to understand the person’s physical condition.
Machine learning has become the first step in detecting and recognizing emotions. Without any input, data about the physiological state of the person is gathered from passive sensors.
This information is then used for cues that assist us in interpreting the emotions of others.
The concepts are features of the emotional AI that are expected to help many sectors to cut down their existing problems.
The Sectors That Can Utilize The Power Of AI
There are numerous applications for artificial emotional & artificial intelligence. Many industries are already incorporating it into their processes. Here are a few examples-
Emotional AI in the Retail industry
In-store, retailers can use emotional AI-powered computer vision technology to analyze demographic data and mood reactions.
The best application of AI technology is to use it to offer virtual trial rooms and virtual shelves to achieve a more personalized experience for customers.
By using AI, customers can easily find the best and perfect outfit, furniture, interior designs, and much more.
Mainly, AI in the retail industry can enhance the user experience and select suitable products from a pool of fashion, apparel, home, and other different products.
Another benefit the AI with feelings detection offers is quick decision-making.
AI in retail enables customers to make quick purchasing decisions. Because trying on different pieces of clothing in physical retail stores can be frustrating. AI-powered virtual trial rooms with digital mirrors help customers make better decisions. These intelligent retail systems save valuable time for both offline and online buyers.
Public service with AI Emotions
Another use of emotional artificial Intelligence use occurs in the public service sector. As government bodies do have bulk records and citizen data that is hard to store and keep updated.
Emotional artificial intelligence can help the public sector in achieving automation and reducing these types of bulked tasks. AI can automate processes such as billing and payment processing, taking messages, citizen inquiries, routing citizens’ complaints to the appropriate authorities, and approving and renewing documents that do not need a high level of verification.
Plus AI can help law enforcement to perform better decisions and catch criminals. The data generated by surveillance devices can be analyzed in real-time for anomalies and threats using AI and machine learning. And using the data law enforcement can take the action as soon as possible.
AI with Emotion for Education Industry
Another sector to benefit from emotional artificial intelligence is education. AI can help in personalized learning that lets students learn as per their pace and understanding.
Also as AI technology is widely popular for its automation capabilities. These capabilities can help the education sector in the grading of multiple-choice materials. It can assess students’ knowledge and can analyze their answers to provide valuable feedback. Furthermore, it can also aid teachers to work with automated grading, it creates a connection between the teacher and the students through their communication. Not only that, it enables teachers to self-learn by providing them with an easily accessible understanding of foreign languages, complex programming skills, and other intellectual domains.
Artificial Intelligence Feelings in Marketing
Artificial intelligence in marketing improves the customer journey by utilizing tools such as big data and machine learning. It entails using artificial intelligence (AI) applications to automate sales activities such as data collection, assessment, and reporting. As a result, brands can improve the performance and ROI of their campaigns with less effort. Furthermore, AI enables brands to complete more tasks in less time.
Insights derived from artificial intelligence products enable more effective customer touchpoints. This allows the brands to provide personalized experiences in ads, customer service, and email marketing.
AI Feelings in Healthcare
Last but not the least, they can utilize AI in the healthcare industry. This industry benefits from emotional AI in medical diagnosis and patient care. Along with that, the technology can assist doctors in diagnosing diseases such as depression and dementia through voice analysis and emotional AI-equipped bots that can reassure patients about their long-term medication schedules and converse with them to learn about their health
These are the five most popular use cases of emotional artificial intelligence, however, that is not it. Other sectors like automobiles, call centers, and development industries are also utilizing emotional AI.
Anomalies In The Emotional AI
Every technology has certain setbacks, and so does AI. There are many challenges in the emotional AI field, but one that significantly stands out is the AI bias.
Which makes the experts put aside the question “does AI have emotions” and think about its possible solution. So, what exactly is the AI bias?
AI bias is the anomaly in the system. It happens based on biased assumptions. This anomaly always leads to various forms of discrimination and a cascade of consequences for people and their lives. The conflict always results in unequal access to the freedoms and rights guaranteed by AI. It is critical to note that the AI does not generate bias on its own, rather it happens because of the already present business in the system. To figure these out, let’s take an example.
Imagine an algorithm that decides whether an applicant gets accepted into a job or not based on geographic location. Hypothetically speaking, if the location of an individual was highly correlated with ethnicity, then the algorithm would indirectly favor certain ethnicities over others.
To understand it clearly, here are some famous examples of AI bias systems.
Employee Recruitment Algorithm of Amazon-
Amazon is one of the world’s most powerful technology companies. As a result, it’s not surprising that they rely heavily on machine learning and artificial intelligence. Amazon discovered in 2015 that its algorithm for hiring staff was biased against women. Because the algorithm used the number of resumes submitted over the previous ten years, and due to the majority of male applicants, it tends to favor men over women.
Correctional Offender Management Profiling for Alternative Sanctions-
Correctional Offender Management Profiling for Alternative Sanctions algorithm, which is used in US court systems to predict the likelihood that a defendant will recidivate, is arguably the most notable example of AI bias.
Because of the data used, the model is chosen, and the overall process of developing the algorithm, the model predicted multiple times as many false alarms for conviction rates for black offenders (45 percent) as white offenders (23 percent )
Researchers discovered in October 2019 that an algorithm used on more than 200 million people in US health facilities to predict which patients would likely require additional medical care favored white patients over black patients. While race was not a variable in this algorithm, another variable that was highly correlated with race was, and that was healthcare cost history. The reasoning was that cost summarizes how many cares needs a specific individual has. On average, black patients had lower healthcare costs than white patients with the same conditions for a variety of reasons. Fortunately, researchers collaborated with Optum to avoid biases by 80%.
These were some of the popular cases of AI bias. All of these cases generated AI bias because of the already present anomalies in the system. AI bias has become common just like AI.
While the world doesn’t know the key to queries like “can artificial intelligence have emotion,” it is surely looking forward to having some serious answers.
But the technology has surely made some progress with emotions and AI, in the form of emotional AI, which is of great use. With the advances in emotional AI, technology experts have high hopes to create feelings in AI.
Currently the AI systems do not have emotions. And there is no chances for emotional AI in near future.
Emotion AI can find & analyze emotions, such as Pain, Anger, Fear, Surprise, Happiness, Sadness etc. AI can help doctors to find exactly what patients feel.