AI affects industries, but it is too early to gauge its impact, both economic and social. AI has a very broad scope as a tool. It is being applied in education, healthcare, finance and across a variety of other fields. There is rapid progress in the application of technology. To illustrate, generating images from text seemed like magic. These days it is commonplace. It creates both opportunity and pressure. Innovation alone is not enough.
There are certain concerns about the use of AI. AI can spread disinformation. There could be situations where AI is not in sync with social objectives. In the long term, AI affects jobs and economic systems. As a society, we must be prepared to meet what is coming.
Knowledge, in the past, was limited by access. AI gives easy access to knowledge in the areas such as health and finance. It is a positive development. It raises the issues of shift of economic systems, and relevance of skills.
While using AI models, it is to be seen that the model uses data to train itself represents all viewpoints, languages and culture. Countries could produce their own country-specific data. Such a model reflects local realities.
We do require more reasoning capacity from models. They should think in context. They should not restrict to predicting the next token. The techniques used today can grow. These should cope with more complex problems. The models require high quality expert data.
AI can take over repetitive and simple tasks. People should focus on skilled work. It is not necessary to have breakthroughs in model design. What is needed is thoughtful model development.
Current models are designed to answer questions. They are not expected to raise questions or be skeptical. In future they should be more conversational. They, should learn to say, ‘I don’t know.’
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