Is Artificial Intelligence Biased? | What is AI Bias? | OpenAI | Machine Learning | #shorts

Who would you blame if the machine started reflecting biases? The machine or the person who designed this machine? This snippet on AI biases will give you a closer understanding of why AI acts biased and what are the factors that affect AI biases.

What are AI biases?
AI biases refer to systematic errors or prejudices that can occur in the development or use of artificial intelligence systems. These biases may arise from the data used to train the system or the algorithms used to make decisions and can result in unfair or discriminatory outcomes.

What is Artificial Intelligence?
Artificial intelligence (AI) is the emulation of human intelligence in devices that have been designed to behave and think like humans. The phrase can also refer to any computer that demonstrates characteristics of the human intellect, like learning and problem-solving.

How is Ai used?
Artificial intelligence makes it possible for machines to learn from experiences, understand new inputs and carry out various human-like tasks. A lot of Ai tasks sincerely rely on Natural Language Processing (NLP) and Deep Learning. These technologies help train computers to accomplish certain tasks by analysing and recognising patterns from a huge data set.

What is Open AI?
OpenAI is an artificial intelligence research laboratory consisting of the for-profit technological company OpenAI LP and its parent company, the non-profit OpenAI Inc. It was founded in 2015 with the goal of promoting and developing friendly AI in a responsible way. OpenAI develops and researches advanced AI technologies, including machine learning and natural language processing.

What is an open-source model?
An open-source model refers to a machine learning model whose source code is freely available to the public, allowing anyone to view, modify, and redistribute it. This enables collaboration and innovation in the development of the model, making it accessible to a wider audience for various applications.

AI vs Human
AI (Artificial Intelligence) is a system designed to perform tasks that typically require human intelligence, such as recognizing speech or making decisions. Humans, on the other hand, have unique qualities such as consciousness, emotions, and creativity that AI systems currently lack. While AI can perform certain tasks more efficiently, it is not yet capable of matching the depth and complexity of human thought and experience.

Future of AI
The future of AI is expected to be characterised by continued advancements in AI research, development, and deployment across various industries and domains. Key areas of focus include explainable AI, ethical AI, AI for social good, and human-AI collaboration. AI is poised to transform society in significant ways in the coming decades.

What are the threats of AI?
AI threats include job displacement, bias and discrimination, privacy violations, autonomous weapon development, and the potential for AI systems to be hijacked or manipulated. Additionally, there are concerns about the misuse of AI for malicious purposes, such as deepfakes and social engineering.

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