Hello Learners…
Thoughts On AI 2023 – Here we display the thoughts about artificial intelligence by the people who are working in this field.
July-2023
AI can accelerate scientific progress and address major global challenges from better-understanding diseases to tackling climate change and driving economic prosperity. Given the opportunity, it is essential that AI systems are designed with responsibility in mind at the start and in close collaboration with experts across industry, governments, civil society, and academia.
July-2023
Machine learning’s impact is far-reaching, powering innovations in image and speech recognition, recommendation systems, fraud detection, and much more. As we unlock the potential of data through machine learning, it’s imperative to continue exploring, innovating, and leveraging its transformative capabilities. Let’s embrace the power of machine learning and let the numbers guide us toward a data-driven future!
July-2023
“Instead of focusing on coding the right algorithm, Data-Centric AI is a systematic effort to get good data to train AI systems. This lets users who have solid domain knowledge prepare good data sets for the AI model to be trained on without having deep machine learning knowledge.”
June-2023
Generative AI is being adopted faster…
- Generative AI has already found real-world use cases with many more use cases being explored.
- AI has been used for decades but with recent user interface innovations, GenAI is capturing consumer attention and driving unprecedented business adoption.
- This transformation from a TOY to a TOOLS marks AI as a powerful business asset, requiring companies to adapt and leverage its potential.
- The rapidly emerging use cases and reshaping industries make AI a catalyst for change, propelling its adoption into businesses.
May-2023
- Done safely and securely, AI has the potential to be transformational and grow the economy.
- That’s why last month I announced we’d give an initial £100m to create an expert Taskforce to accelerate the UK’s capability in Foundation Models. These are AI systems trained on massive data sets which can be used for a wide range of tasks – ChatGPT is a well-known example.
- But the success of this technology is founded on having the right guardrails in place so that the public can have confidence that AI is used in a safe and responsible way.
- To achieve this the government and leading figures in AI need a joined-up approach to governance, which is why last night I met CEOs from three top AI companies – OpenAI, DeepMind, and Anthropic
- It was an important discussion and between us we covered a lot of ground, acknowledging that:
- AI is a fast-moving technology so we need an approach to regulation that is agile
- AI safety will be an increasingly international endeavor and the UK is well-placed to drive this discussion forward
- From the spread of disinformation to national security threats, there are risks that come from AI, so platforms must consider safety measures to manage this.
- I want the UK to become a science superpower by 2030, and harnessing the potential of AI provides huge opportunities to grow our economy, create better-paid jobs and drive advances in healthcare and security.
- But we must ensure this new and exciting technology is developed safely and responsibly.
- Meetings like the one we had last night are a step in the right direction for how we can all work together to achieve these aims.
May-2023
As AI continues to transform the world around us, it’s essential to consider the ethical implications of its development and deployment. At the heart of this conversation is the need for transparency and accountability in how AI is built and used.
As an AI enthusiast, I believe it’s our responsibility to ensure that these powerful technologies are developed and deployed ethically while avoiding any defamatory statements or actions that could harm the reputation of individuals or organizations involved.
we must also prioritize privacy and data security in the development and deployment of AI. With AI’s ability to collect, process, and analyze vast amounts of data, it’s crucial to ensure that data is collected and used responsibly and that the privacy of individuals is protected.
Ultimately, the ethical development and deployment of AI are vital to ensuring that these technologies continue to benefit society without causing harm.
Let’s work together to build an AI-powered future that we can all be proud of.
Happy Learning And Keep Learning
Thank You…