Exploring the Evolving Landscape of Artificial Intelligence in 2024
AI Part 3 - Current State of AI and Challenges Ahead
As technology continues to develop, we find ourselves in a world with numerous applications that assist us in our day-to-day life. We see this in personal assistants on our phones or in new recommendations for shows to watch on Netflix. A big contributor to these recent advancements can be given to artificial intelligence, which has only proven itself transformative. Subsequently, artificial intelligence has found itself being applied in many technological applications.???
As we continue this series, this article aims to discuss the current state of the artificial intelligence landscape.??
Artificial Intelligence Development?
When examining the current state of artificial intelligence, let’s first look at the current state of development for artificial intelligence. After examining the history of artificial intelligence in our previous post of this series, we can see that many of the advancements in this field have been done in an academic sense.? Nowadays, artificial intelligence has moved away from only being developed in labs to now also being developed by businesses. According to Standford’s 2024 AI Index Report, industries take the lead with 51 notable machine learning models versus academia only contributing 15. Nvidia, Microsoft, and OpenAI are a few major contributors to artificial intelligence development as of 2024.??
This can be contributed to the accessibility of artificial intelligence to the public, whether it be individuals or businesses. The accessibility to the development of artificial intelligence has transformed many industries such as healthcare, finance, and automotive manufacturing.??
Role of Artificial Intelligence?
With businesses now taking the mantle of developing artificial intelligence, business leaders now have more tempered expectations on the role artificial intelligence plays in their field. In part, this is due to artificial intelligence now being adopted into the workplace. While standalone tools like ChatGPT take the spotlight in today's world of being revolutionary, businesses each have different takes on how they approach implementing AI.???
In fact, IBM states that enterprise environments are looking at high-impact generative applications that enhance or integrate into their systems instead of replacing or revolutionizing. This can be seen by whether they develop their own in-house generative model or leveraging tools like “Copilot” in Microsoft Office.??
Generative AI, however, isn’t the only artificial intelligence that has integrated into current society. Other pivotal subfields that contribute to the society we see today are machine learning, robotics, natural language processing, and computer vision. Some examples are cashier less-checkouts, website chatbots that offer advice, and personalize content in streaming platforms or social media due to better optimize algorithms.??
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Artificial intelligence offers a variety of benefits in many industries, but there also come new challenges with it.?
AI Challenges & Issues?
From the Standford’s 2024 AI Index Report, it indicates two challenges that we currently face in today’s climate: a lack of reporting standardization for AI and the increasing number of regulations for AI within the United States.??
The lack of reporting standardization falls under the differing framework for evaluation in AI. This is due to how rapidly artificial intelligence develops within recent years and the differing application approaches that came from it. In fact, within the same report, it states numerous top leading developers like Google and OpenAI test their models against different responsible AI benchmarks. The lack of systematic approach now makes it hard to compare the differing models, as they operate under different standards.??
Meanwhile, the way AI operates is why there has been increasing regulation for AI in the United States. The Standford report states that within 2023 there has been increase of 25 new regulations compared to only 1 in 2016. As AI uses enormous amounts of big data to operate their tasks, some of the data can either be private or sensitive. A prime example of this is the latest trend, Generative AI.???
ChatGPT has gotten over millions of users since its release back in 2022. With users inputting data, ChatGPT has quickly refined its responses through the ingestion of the substantial amount of data added into its database. Employees, who can see the potential increase in productivity, may input enterprise data to leverage the tool for their own benefits. This data, potentially inside business secrets or copyrighted material, is now out to the public with a substantial risk of data violations.??
With that, the next post will go more in-depth on the application of what is possible through AI.??
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