Ethical and Legal Challenges of AI
Discrimination against Minorities. If AI is trained on biased data, it will produce biased results, potentially leading to discrimination against minorities or other groups. Examples of
The AI Revolution is not without challenges
AI, and particularly the development and application of LLMs, is undergoing an unprecedented period of boiling innovation. This rapid evolution also comes with significant challenges, including:
“Keys to Artificial Intelligence”: the book you must read to
“Venture capital markets have gone completely wild”, tweeted at the end of August Sarah Guo, one of Silicon Valley’s leading investors (formerly General Partner at Greylock,
AI was already here: everyday AI applications
Although for many, Artificial Intelligence (AI) might seem like a novelty or futuristic technology, the truth is that AI has been a part of our daily
$900,000 a Year: The New AI Engineers.
New technological challenges give rise to new professions. Every time a new group of professionals emerges with a completely different background, speaking a different language, producing
New Employment Opportunities Related to AI
60% of today’s workers are employed in occupations that didn’t exist in 1940. 80% of employment growth in the last 80 years is explained by the
