What are AI and GenAI, and why is Differentiating Between them Crucial in 2024?

Exploring the world of AI and GenAI. In this article, we'll be taking a deeper look into what differentiates AI and GenAI and address various issues and concerns around implementing AI and GenAI. Also discussed are some essential courses for professionals to upskill on this aspect and gain introductory knowledge on AI vs Generative AI.
What are AI and GenAI, and why is Differentiating Between them Crucial in 2024?

Understanding the Divide on Artificial Intelligence and Generative AI

For those who are bullish on AI and GenAI, these technologies are seen as a way to help society and are already assisting humans in various ways. However, skeptics point out the numerous limitations and legitimate reservations surrounding these technologies, such as hallucinations, deepfakes, plagiarism, copyright violations, the risk to human jobs, the guzzling of power, and the perceived lack of return on investment (ROI). In fact, Daron Acemoglu, institute professor at the Massachusetts Institute of Technology (MIT), believes that while GenAI “is a true human invention” and should be “celebrated,” “too much optimism and hype may lead to the premature use of technologies that are not yet ready for prime time.” Moreover, measuring ROI is tricky. According to Andrew Ng, founder of DeepLearning.AI, AI is the new electricity, but this analogy makes it challenging to evaluate the ROI.

To fully understand AI, one needs to appreciate that AI is a 60-year-old technology, which implies that differentiating between traditional AI and GenAI is crucial.

When implementing AI and GenAI, businesses and individuals alike need to address various issues such as business problem-solving and considering how the technologies are affecting the human workforce. Data remains a finite resource for all AI models.

Andrew Ng once pointed out, ‘AI is the new electricity. It will transform every industry and create huge economic value.’ Yet the concerns remain and a close evaluation is a must.
As these issues highlight the multifaceted nature of the relationship between human intelligence and AI systems. Some sources recommend seeking multiple expert opinions, just like Daron Acemoglu of the Massachusetts Institute of Technology. At least until then, users are invited to upskill on this aspect through Google’s Cloud- delivered Google AI Essentials certificate that highlights some industry-changing elements about traditional AI vs Generative AI.

In other news, we need to pay heed to upskilling the professional who want to avoid their own redundancies - here Coursera leads by setting new upskilling opportunities like an intro course from Vanderbilt University for everyone working remotely.

These fears raise essential concerns. Consider exploring beginner courses offered on various online learning platforms that enable new knowledge with beginner- level course instructions at hand to choose to educate their followers by finding career-skill and high career-level improvement - plus numerous tech insights based on top-skills globally such as offered through free or nominally paid and new ones of every one new trend around e-learning offered freely here today:https://www.coursera.org. - I must do one sometime but want it like ‘just know its basic 2023 year,’ however by pursuing professional level that matches just anything beyond imagination- probably going so smoothly.