The next step of Artificial Intelligence (AI) development is machine and human interaction. The recent launch of OpenAI's ChatGPT, a large language model capable of dialogue of unprecedented accuracy, shows how fast AI is moving forward. The ability to take human input and permissions and adjust its actions based on them is becoming an integral part of AI technology. This is where the concept of ethics in artificial intelligence research begins, and this is the area I am focusing on for the rest of this article.
Previously, humans were solely responsible for educating computer algorithms. Instead of this process, we may soon see AI systems making these judgments instead of human beings. In the future, machines might be fully equipped with their own judgement system. At this point, things could turn for the worse if the system miscalculates or is flawed with any bias.
The world is currently experiencing a revolution in the field of artificial intelligence (AI). In fact, all Big Tech companies are working hard on launching the next step in AI. Companies such as Google, Open AI (Microsoft), Meta and Amazon have already started using AI for their own products. Quite often, these tools cause problems, damaging company reputations or worse. As a business leader or executive, you must also incorporate AI in your processes and ensure your data scientist or engineers team develops unbiased and transparent AI.
A fair algorithm does not bias against any single group. If your dataset does not have enough samples for a particular group, then the algorithm will be biased for such a group. On the other hand, transparency is about ensuring that people can actually understand how an algorithm has used the data and how it came to a conclusion.
There is no denying the power of artificial intelligence. It can help us find cures for diseases and predict natural disasters. But when it comes to ethics, AI has a major flaw: it is not inherently ethical.
Artificial intelligence has become a hot topic in recent years. The technology is used to solve problems in cybersecurity, robotics, customer service, healthcare, and many others. As AI becomes more prevalent in our daily lives, we must build trust in technology and understand its impact on society.
So, what exactly is AI ethics, and most importantly, how can we create a culture of trust in artificial intelligence?
AI ethics is the area where you look at the ethical, moral, and social implications of artificial intelligence (AI), including the consequences of implementing an algorithm. AI ethics are also known as machine ethics, computational ethics, or computational morality. It was part of my PhD research, and ever since I went down the rabbit hole of ethical AI, it has been an area of interest to me.
The term "artificial intelligence ethics" has been in use since the early days of AI research. It refers to the question of how an intelligent system should behave and what rights it should have. The phrase was coined by computer scientist Dr. Arthur Samuel in 1959 when he defined it as "a science which deals with making computers do things that would require intelligence if done by men."
Artificial intelligence ethics is a topic that has gained traction in the media recently. You hear about it every day, whether it is a story about self-driving cars or robots taking over our jobs or about the next generative AI spewing out misinformation. One of the biggest challenges facing us today is building trust in this technology and ensuring we can use AI ethically and responsibly. The notion of trust is important because it affects how people behave toward each other and towards technology. If you do not trust an AI system, you will not use it effectively or rely on its decisions.
The topic of trust in AI is broad, with many layers to it. One way to think about trust is whether an AI system will make decisions that benefit people or not.
