Imagine a future, where AI robots walk among us or help us with daily tasks like household chores to teaching in school or even making important decisions in hospitals about patient care.
The AI model, Chatgpt This advanced system scours data from the internet to answer questions, craft writing pieces like poems, and solve complex Python problems.
An ethical dilemma arises from its capabilities, as explainable AI becomes crucial when people are winning accolades with machine-generated content.
It raises ethical questions and the future in terms of AI. AI technology brings a major change in many areas, But it can affect our humanity and society.
It can pose a danger to us without our knowledge. Without ethical guidelines, it can create real-world biases and discrimination, fueling divisions and threatening fundamental human rights and freedoms.
However, in this future, there’s a big question mark hanging over everything: How do we ensure that AI always acts in our best interest? This is where ethics come into play.
What are AI ethics?
AI ethics are principles that stakeholders (from engineers to government officials) use to ensure artificial intelligence technology is developed and minimize its risk.
This means taking a safe, secure, humane, and environmentally friendly approach to AI.
Ethical issues with AI :
- Inequality :
Envision a future where you enter a restaurant and are greeted by robots and machines serving your meal.
This scenario prompts questions about the future of AI and its impact on AI and society.
What has happened to human roles in this automated world, and does this integration seem acceptable?
The adaptation of AI in business is poised to create new job opportunities, yet it will also begin to supplant human workers across various sectors.
Industries that traditionally depend on manual labor, such as manufacturing and agriculture, are on the cusp of transformation with the future of AI in business, as AI Robots start to take over.
- AI and bias in decision-making.
Machine learning software unlike humans doesn’t understand the oppressive system of a country, racism, slavery, and concerning problems.
They operate the world through the data that is given. Generative AI can influence public opinion or promote a certain agenda. In the USA, Compass, a certain AI algorithm turned out to be biased in the prediction of criminal crime.
The result perpetuates a certain ideology that black people are more culprits than white people.
Compass biasedness increased turbulence, discrimination, and prejudice in public. It raises major ethical issues of AI regarding transparency and decision-making skills.
Accountability? What is wrong?
When AI malfunctions, who’s to blame? Is it the developers, the users, or the machine itself?
AI systems, especially in marketing, often operate as “black boxes”, making decisions that even their creators can’t always explain. Addressing these ethical processes is crucial for maintaining transparency and explainability in AI.
- Privacy and Safety Issues :
Another primary ethical concern associated with AI is its potential impact on privacy.
They can collect and analyze vast amounts of data about individuals, including their preferences, behaviors, and even their emotions, even faces.
Those data can fall into the wrong hands, it could violate privacy and safety issues. It could increase issues like identity theft and cyberbullying.
Evil Genes?
- Unintended Consequence :
Picture, you brought an AI doll into your house that’s programmed to be your child’s greatest companion.
What if it exhibited hostile behaviors, contradicting Moral Principles?
Many researchers argued that AI could lead to “Intelligence Exploitation”. It means that AI could be a powerful tool that humans would not be able to stop from achieving its goal.
Even though we have seen these kinds of scenarios in movies, what about it would happen in real life?
Actors in AI Ethics; The Role of Regulations:
The application of diverse data for routine testing, coupled with collaboration with experts and stakeholders, can address transparency issues in AI.
Government and regulatory bodies can also set guidelines to make sure that AI is used ethically. The government could enable access to data and algorithms of AI systems to users for better transparency and decision-making issues.
It is also essential to understand what data is being collected and how it is being used. This information can be found in privacy policies and terms of service agreements.
Social media posts, online purchases, and even simple web searches can reveal personal information that could be used to compromise privacy.
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Writer
Srabanti Chakma
Intern, Content Writing Department
YSSE