Results for ""
Artificial intelligence, as a field of study and technology, has been around for over a half-century, with varied degrees of growth and success.
With the increasing popularity of Generative AI tools like Chat GPT and Midjourney and tech companies like Microsoft and Google racing to incorporate these models into their search and enterprise offerings, we have reached a point where AI, particularly Generative AI, is having a significant impact on our daily lives and beyond.
Generative AI technologies have exploded recently, ranging from large language models like GPT-3 to image generation models like DALL-E-2. As a result, experts believe Generative AI will play a significant role in driving AI innovation and investment in the future decade, with investment in AI expected to reach $422.37 billion by 2028 at a 39.4% CAGR.
Generative AI technologies, primarily focused on low-cost and high-value solutions, are seen as the future of the word, image, and even code generation, with sometimes indistinguishable results from human invention. However, given the rapid advancement of these technologies, we are still determining the threats they will entail. On the one hand, countries like China have introduced legal steps to limit the hazards of Generative AI, such as watermarking the end output, auditing the algorithms, and even obtaining user approval before using their data to train these models.
On the other hand, the socioeconomic influence that Generative AI models can have is broad and deep, and it can even endanger our country's unity and national fabric, raising the question of how we can ensure ethical and responsible usage of Generative AI models. Furthermore, the rights, attribution, and intellectual property (IP) of AI-generated works replicating individual human creators raise extra ethical concerns.
With these concerns in mind, INDIAai hosted a series of roundtable discussions with stakeholders and ecosystem participants to understand better the current Generative AI landscape, ethical and legal problems, and strategies to limit these models' negative impact on our society.
Note: This report is the result of that effort, designed for policymakers, entrepreneurs, practitioners, and students to use.