Generative AI has been criticized for allegedly plagiarizing, violating intellectual property rights, and stealing from human inventors.
With platforms like ChatGPT, Midjourney, and Stable Diffusion altering how we produce, perceive, and interact with media for better or worse, generative AI has taken the globe by storm. Artificial intelligence was once limited to theory and science fiction, but it is now accessible on desktop computers, cellphones, and other devices.
Tools that create pictures, text, music, and videos in response to cues are referred to as generative AI. This introduction to generative AI will cover the technology’s future as well as the businesses creating it.
In The Beginning
Though the notion of artificial intelligence has been around for about a century in various incarnations, it wasn’t until the 1950s that it started to take shape.
The Imitation Game, also known as the Turing Test, created by British mathematician Alan Turing in 1950, the DENDRAL project in the 1960s, IBM’s Deep Blue’s 1997 victory over chess champion Garry Kasparov, and IBM’s Watson’s 2011 victory on Jeopardy are some of the key events that contributed to the development of artificial intelligence as we know it today.
The work of Ian Goodfellow and others with Generative Adversarial Networks (GANs) started to take shape in 2014, and that’s how generative AI is known today.
The establishment of ChatGPT’s founders, OpenAI, in 2015 marked the next significant advance in artificial intelligence. Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba formed San Francisco-based OpenAI in December 2015.
Singularity in Computer Science is Reached When Artificial Intelligence Becomes Greater Than Human Intelligence
OpenAI released the initial version of ChatGPT in November 2022, and the more potent GPT-4 was released in March 2023.
AI proponents believe that their technology will lead to a utopian world free from inequality, sickness, and poverty. However, critics claim that artificial intelligence will eventually replace people in the job and charge generative AI with stealing ideas, plagiarizing works, and violating intellectual property rights. Like most things, the truth is somewhere in the center.
AI vs. Generative AI
With the public release of ChatGPT in November, AI became a major topic of conversation. The terms “artificial intelligence” and “machine learning” apply to two different aspects of technology.
Computers that use artificial intelligence are able to simulate human mental processes and brain-like activities. Algorithms that enable computers to recognize patterns, reach conclusions, and gain expertise are referred to as machine learning.
Generative AI generates content by learning from data. Generative AI is versatile yet sometimes less predictable than classical AI, which is consistent and interpretable. One instance of this unpredictable nature is the tendency of generative AI to produce “hallucinating” replies.
Hallucinations
An artificial intelligence (AI) hallucination is when an AI produces unexpected and false outcomes that are not supported by real-world facts. False news, material, or information about individuals, events, or facts can all be sources of AI hallucinations.
US criminal defense lawyer and law professor Jonathan Turley said on April that ChatGPT had accused him of sexual assault. Even worse, the AI fabricated the assertion and used a Washington Post article to support it.
Attorney Steven A. Schwartz in Mata v. Avianca Airlines acknowledged in May that he “consulted” the chatbot as a source for his investigation. The issue? All of the information that ChatGPT gave Schwartz was false.
What Is the Process of Generative AI Work?
Chunks of data are put into the system for generative AI to learn from. Large language model developers scouring the internet provide the majority of such data. Neural network methods are used by AI programs to generate new information that, when prompted, closely resembles the data it was trained on. Video games, sounds, graphics, and music cannot be produced by generative AI models because of deep learning.
Commonly used generative AI platforms are:
- Images and Art: Leonardo AI, Midjourney, Playground, Stable Diffusion
- Music: Soundful, Shutterstock Amper Music, and OpenAI’s MusicNet
- Text: ChatGPT, Google Bard, Claude
- Games: Scenario, Promethean AI, Nvidia Omniverse
Controversies and Ethical Implications
Technological developments in artificial intelligence have also given rise to a cottage industry of internet scammers. The United Nations and Vatican have issued advisories on AI due to its increasing prevalence.
Deepfakes are artificial intelligence-generated videos or audio files that present fictitious events that are become more difficult to identify as fake, owing to generative AI systems like OpenAI’s DALL-E 2 and Midjourney 5.1.
AI voice tool Voicebox was launched in June, according to a statement from Meta. Voicebox won’t be made available to the general public, according to Meta, who acknowledged that the platform may be abused to produce audio deepfakes.
The UN issued a warning, claiming that deepfakes created by AI on social media might incite hatred in areas of conflict. The international organization demanded that social media platform developers make public content reporting and invest in content moderation systems that use both artificial intelligence and human judgment for all languages spoken in the regions in which they operate.
During a congressional hearing in Washington, DC, in May, OpenAI CEO Sam Altman advocated for the establishment of a new regulatory body to supervise the advancement of artificial intelligence.
“In addition to stating that the proposed organization should mandate independent audits of any AI technology, Altman stated, “I would form a new agency that licenses any effort above a certain scale of capabilities, and that can take that license away and ensure compliance with safety standards.”
Additionally, it has been claimed that generative AI systems encourage negative body views and poor eating habits.
