Artificial intelligence advancements continue to influence humankind’s destiny in almost every sector. Emerging technologies like big data, robotics, and the Internet of Things are already primarily driven by AI, and generative AI has increased the potential and appeal of AI even more.
A 2023 IBM poll found that 40% of enterprise-scale enterprises are thinking about implementing AI in their organizations, and 42% of them had already done so. Furthermore, 42 percent of firms are thinking about incorporating generative AI into their workflows, while 38 percent have already done so.
The Evolution of AI
Since 1951, when Christopher Strachey’s checkers program at the University of Manchester’s Ferranti Mark I computer finished an entire game, artificial intelligence (AI) has advanced significantly. IBM’s Deep Blue defeated chess master Garry Kasparov in 1997 and its IBM Watson won Jeopardy! in 2011 thanks to advancements in machine learning and deep learning.
Since then, generative AI has led the most recent phase of AI development; in 2018, OpenAI released its first GPT models. OpenAI’s GPT-4o model and ChatGPT are the result of this, and as a result, there are now several AI generators that can analyze queries to generate pertinent text, audio, graphics, and other kinds of material.
How AI Will Impact the Future
Approximately 55% of companies have implemented AI to some extent, indicating that many firms will soon become more automated. Businesses can now rely on AI to manage straightforward customer engagements and respond to routine employee inquiries thanks to the growth of chatbots and digital assistants.
The decision-making process can also be sped up by AI’s capacity to evaluate vast volumes of data and translate its conclusions into easily understood visual formats. Instead of spending time analyzing the data individually, business executives may use real-time insights to make well-informed decisions.
When [developers] have a thorough understanding of the domain and the capabilities of the technology, they begin to draw links and ask, “Maybe this is an AI problem, maybe that’s an AI problem,
Job Disruption
Naturally, concerns about job losses have arisen as a result of business automation. Employees actually think AI could handle nearly one-third of their jobs. Even while AI has improved the workplace, its effects on various sectors and occupations have been uneven. For instance, there is a chance that manual professions like secretaries will be automated, but there is a greater need for positions like information security analysts and machine learning professionals.
It is more likely that AI will enhance rather than replace workers in more creative or specialized roles. AI is expected to encourage upskilling initiatives at the individual and corporate levels, whether it is by requiring workers to learn new skills or by replacing them in their current positions.
“Investing heavily in education to retrain people for new jobs is one of the absolute prerequisites for AI to be successful in many [areas],” said Klara Nahrstedt, a professor of computer science at the University of Illinois at Urbana-Champaign and the director of the school’s Coordinated Science Laboratory.
Data Privacy Issues
To train the models that drive generative AI technologies, businesses need vast amounts of data, and this process has drawn a lot of attention. Concerns about businesses gathering personal information about customers have prompted the FTC to launch an investigation into whether OpenAI’s data collection practices have harmed customers after the company may have broken European data protection regulations.
Data privacy is one of the fundamental tenets of the AI Bill of Rights that the Biden-Harris administration created in response. Despite having little legal force, this law represents the growing movement to protect data privacy and force AI businesses to be more open and careful about how they get training data.
Increased Regulation
Depending on how generative AI cases play out in 2024, AI may change the way that some legal issues are seen. For instance, copyright litigation against OpenAI by authors, musicians, and businesses like The New York Times have brought the topic of intellectual property to the fore. Losing these cases might have serious repercussions for OpenAI and its rivals since they have an impact on how the American legal system defines private and public property.
The U.S. government is under increased pressure to adopt a more robust position due to ethical concerns that have emerged in relation to generative AI. With its most recent executive order, which establishes preliminary principles for data privacy, civil liberties, responsible AI, and other aspects of AI, the Biden-Harris administration has maintained its moderate stance.