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Today’s world is all about the digital age, as technology has made incredible advancements. It is a well-known story that artificial intelligence and ethics have become antonyms of each other.
One might ask why there is such a strong opposition between ethics and artificial intelligence. The reason for this opposition is the very capability of artificial intelligence. This capability is not ordinary, as artificial intelligence more or less imitates human intelligence.
You name it, and artificial intelligence will do it for you. Artificial intelligence has done everything from decision-making to dangerously copying the manner of answering as human beings.
1. Ethics and Artificial Intelligence on the Same Boat
1.1. Bias in Artificial Intelligence
Not so long ago, this entire concept of artificial intelligence was just a part of our imagination. This imagination was limited to fiction stories and movies.
First thing first, why do we ask this question of ethics and artificial intelligence how is artificial intelligence impacting our lives? The answer is that bias in artificial intelligence and bias in AI is the most crucial dilemma.
We all know that artificial intelligence learns from historical records and the real problem comes when those historical records have biases. This bias can be very mordacious in the real world.
To understand this bias, let’s take an example of a facial recognition feature and the algorithm for facial recognition has shown discrimination against people of certain races.
1.2. Artificial Intelligence and Our Privacy: A Utopia?
At present, artificial intelligence and concerns about our privacy are running together. It is not a secret that artificial intelligence feeds on our data.
And this feeding on data is another tightrope for the coexistence of artificial intelligence and ethics. Everything surrounding us such as social media, smartphones, or smart devices, collect large and crucial data about a person’s life, ironically enough most of us do not even know how and where our data is being collected and used.
We agree that collecting data is alpha for artificial intelligence to work. As this data is utilized for all personalized services, nevertheless it is a big question mark on our privacy.
Data breach has become so common that it does not even qualify to be in the news. Not only this but many big corporations have a track record of data breaching.
Mind you, this data breaching is a common phenomenon when there is data encryption, consent of the user, and anonymization technology.
1.3. How Artificial Intelligence is Replacing Us in the Professional Domain?
Well, most people will not throw a glance at the dangerousness of artificial intelligence until they see how artificial intelligence is slowly eating up their jobs.
Undoubtedly artificial intelligence can improve our productivity and make tasks simpler but it is also replacing manual work and routine tasks.
The young graduates are now running to learn artificial intelligence as their degree will not suffice for a job. Those who do not know their way around artificial intelligence are being fired or replaced by those who are experts in using artificial intelligence.
The two worst affected domains are healthcare and finance, where all the work that used to be done in a traditional manner, is now being done by artificial intelligence.
Navigating the AI-Driven Work Landscape: Embracing Skills Evolution
“Artificial intelligence commands [not just] technical proficiency [but also] heightened emphasis on innate human traits—critical thinking, emotional intelligence, complex problem-solving.
Citing a World Economic Forum report, by 2025—a staggering 85 million jobs could be supplanted amid shifting labor dynamics between humans and machines.
Conversely, the report indicates that 97 million new roles—better suited to the evolving synergy among humans, machines, and algorithms—[are likely to] arise.
Individuals must embrace lifelong learning; actively seeking opportunities to upskill or reskill in areas where AI falls short is essential.
Industries should forge pathways for employee skill development, invest in training programs, and nurture a work culture that prizes human insight as heavily as computational prowess.
A PwC study underscores this urgency: 77% of CEOs identify the [lack of] key skills as their most formidable business threat.
Companies must [not only] attract but also retain and cultivate talent by providing robust professional development opportunities and delineating clear career progression paths—this is crucial.
Companies attract and retain top talent by positioning themselves as innovators: they [not only] integrate AI into their operations but also equip their workforce to collaborate with this technology.
Companies that offer competitive learning programs—[coupled with] a commitment to employee development—craft a compelling value proposition for [both] prospective and current employees.
Fostering a culture that values every team member’s contributions and providing an environment conducive to experimentation with new ideas and technologies can bolster retention; [in fact], a LinkedIn survey revealed 94% of employees would remain longer at companies investing in their career development.
Cultivating talent—especially crucial in this AI-driven era—involves discerning each employee’s potential and supplying the necessary tools and opportunities [for them] to achieve it, ensuring both company success and a workforce poised to excel amidst evolving circumstances.”
1.4. The Question of Ethical AI Becoming a Joke as We Are Under AI Surveillance
Just the thought of being under constant surveillance is scary but the reality is that we are actually living in surveillance of artificial intelligence sometimes even without realising.
In our everyday lives, AI-powered security cameras have become normal and these cameras have the capability of facial recognition.
The question here is did we trade a lot for our security? A device that we have installed for our own safety is now becoming another threat itself.
With artificial intelligence, a clash with individual privacy rights arises, and creating a balance between individual rights and the usage of artificial intelligence becomes next to impossible for authorities.
The role of protector and possible intruder both are being played by artificial intelligence, what an irony!
1.5. Can we Regulate Artificial Intelligence? Will Regulating AI Make it Ethical?
Artificial intelligence is advancing at an unmeasurable level. Though it is difficult to completely regulate it but not impossible. The problem is that we have to keep the regulations at the same pace as the evolution of artificial intelligence.
Additionally, artificial intelligence is a diversified technology with various tools and applications. Every tool or application of artificial intelligence has its own unique requirements and ethical considerations.
That is why the task of regulating artificial intelligence in a way that is practical and adaptive rests complex as of now.
On the question of regulations making artificial intelligence ethical, the response remains clouded. Regulation of artificial intelligence is the need of the hour and very crucial but it does not give the guarantee of ethicality of artificial intelligence.
The regulation of artificial intelligence can help us to avoid worst-case scenarios but it cannot be completely ethical.
Balancing Security and Privacy: The Ethical Landscape of AI Surveillance
“Honestly, AI surveillance is a matter that involves both enhancing security and safeguarding privacy. With advanced software and algorithms, governments and organizations [are increasingly using] AI to power a vast network of cameras.
These cameras analyze every detail and provide insights in real time. This technology has actually been crucial in saving lives and preventing numerous crimes!
However, like any technology, there are ethical considerations to [keep in mind]. AI-based surveillance holds great promise, but it’s crucial to use it in ways that respect human rights and protect privacy.
As we advance in these technologies, it’s vital to strike a careful balance between their benefits and the potential risks they pose.
I believe that through responsible management and deployment, [we] can create a [world that is both] safer and more prosperous, benefiting everyone.”
1.6. What is the complex definition of regulating artificial intelligence?
In the year 2023, where artificial intelligence is omnipresent and is controlling our lives with strings, the question of strengthening regulations is not a question but a necessity. The question of regulating artificial intelligence halts on “who will regulate” and “how will regulate”.
The unthinkable potential of artificial intelligence has created a hustle for governments and companies and on top of that, artificial intelligence is a global phenomenon.
Due to the global nature of artificial intelligence, the regulations also need to be the same across the borders. Moreover, acquiring international consensus for regulating artificial intelligence is possible when pigs fly.
Each country has its own approach and strategy for regulating artificial intelligence which is why international consensus stands still.
1.7. Lack of Transparency and Accountability in Artificial Intelligence
A lot of artificial intelligence algorithms, particularly the deep learning one, work as “black boxes”.
This lack of transparency in artificial intelligence enhances the difficulties of understanding. It becomes impossible to know how artificial intelligence makes its decisions.
According to a 2022 report by McKinsey & Company, “Explainability in the artificial intelligence the very capability to know and clarify why a certain decision was made. Be it a specific decision, giving suggestions, and even making predictions. Certainly, to know achieve this explainability we have to know artificial intelligence uses its data.”
This statement of the report is sufficient to explain the importance of explainability of artificial intelligence.
It is of paramount importance for artificial intelligence to give us comprehensible fundamental reasoning used for making decisions, giving suggestions, and making predictions.
This answerability of artificial intelligence is the foundation of user’s trust in AI and regulatory compliance.
1.8. Achieving Explainability in Artificial Intelligence
To achieve this impossible goal of explainability in artificial intelligence, it goes without saying that we have to understand properly how these artificial intelligence models operate.
The first and utmost important step would be acquiring insights into algorithms and architecture of artificial intelligence.
It is only after understanding how artificial intelligence works, we can regulate and make it explainable.
1.9. Is Advanced Artificial Intelligence Tough to Make It Explainable?
Nowadays artificial intelligence is becoming more and more advanced with each passing day and this advancement of artificial intelligence is the reason behind making explainability more tough.
Some advanced artificial intelligence models like deep learning neural networks have millions of different parameters. Hence difficult to understand nonlinear relationships.
And no wonder that this complexity of architecture in artificial intelligence is making it impossible to precisely tell how a particular decision was made by artificial intelligence.
In a nutshell, making artificial intelligence explainable is a difficult task but a crucial goal for companies.
2. Common Ground Between Ethics and Artificial Intelligence
After reading the above-mentioned challenges of artificial intelligence being ethical you must be trying to find a common ground for both.
The situation shown above, between ethics and artificial intelligence, is complexly arranged which is why the need to harmonize these two domains becomes crucial.
The need of the hour is ethical AI design hence engineers and developers out there need to incorporate these ethics into the development of artificial intelligence.
Incorporating these ethics into artificial intelligence is a big step in finding common ground between ethics and AI.
Another important step would be engaging the public in discussions and debates over the societal impact of artificial intelligence.
In conclusion, we can say that the coexistence of artificial intelligence and ethics is a challenge at present times. The immense growth of artificial intelligence made our lives easy but also posed some serious ethical questions.
These ethical questions include bias, privacy, job displacement, and surveillance concerns. These ethical questions tell us how important it is to regulate artificial intelligence.
However, regulating artificial intelligence is thorny and yet regulating does not give a guarantee of ethical artificial intelligence.
To strike a balance between them, it is important to know ethical AI design, spread awareness, and have discussions over the implications of artificial intelligence on human life.
Guest Author: Saket Kumar