The Road Ahead
The forthcoming era of generative AI models offers a plethora of intriguing opportunities and unparalleled progression, yet it is interspersed with numerous uncertainties. As discussed in this book, many breakthroughs have been accomplished in the recent years but successive challenges continue to linger, mainly pertaining to precision, rationalizing ability, controllability and entrenched bias within these models. While grandiose claims of superintelligent AI on the horizon may seem hyperbolic, consistent trends predict sophisticated capabilities sprouting within a few decades. On an individual level, the proliferation of generative content raises valid concerns around misinformation, plagiarism in academia, and impersonation in online spaces. As these models become more adept at mimicking human expression, people may have difficulty discerning what is human-generated versus AI-generated, enabling new forms of deception. There are also fears about generative models exacerbating...
