Understanding AI Alignment

Artificial Intelligence will improve our lives in many ways, from safe, automated mobility to time-saving tasks. With constant innovation, AI systems will become far more capable, possibly equaling or exceeding human-level performance at most intellectual tasks.

AI is one of the most important technologies of our time and its impact is comparable to the industrial and scientific revolutions. For business leaders to utilise AI’s full capabilities it’s crucial to ensure AI is aligned with human intent and the promise of the AI product itself.

The best way to express your intent is to review examples of how the algorithm behaves and provide feedback. Human feedback can be used to steer AI products very efficiently by shaping the evolving dataset to reflect the developers’ intentions and user expectations.

What is AI alignment and why is it important?

AI alignment is a field of AI safety research that aims to ensure that AI systems achieve their desired outcomes and work properly for humans. It aims to create an end-to-end process where an AI-based system can align its output with desired human preferences.

Imagine playing darts, or any game for that matter, but not agreeing on what the board looks like or what you get points for. If the designer of an AI system cannot express consistent and clear expectations through feedback, the system won’t know what to learn.

It all comes back to iteration

Contrary to common belief, AI alignment is not actually a technology problem, it’s a people problem. Ultimately, the ability of the AI system to learn the right kind of rules comes down to the ability of the product developer or service provider to express what it is that they want the product to do.

If we don’t figure out a better way to do this, we will see a lot of disappointment in the next few years and it’s going to be very difficult to realise the potential of AI. So, it’s in our collective interest to get this right. If business and technology leaders can collaborate closely on alignment, it will help create better products and in turn benefit humans day to day-to-day lives.

We live in a fast-changing world, and expectations evolve quickly. If you assemble a large dataset, you must expect it to evolve. The challenge now is to shape your data with this evolution in mind which in turn informs your AI products. Alignment is the way forward, and the key is to approach it with an iterative mindset. The challenge now is to explore and shape your data with this evolution in mind which in turn informs your AI products.To Know More, Read Full Article @ https://ai-techpark.com/understanding-ai-alignment/
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From Paper to Prediction: AI’s Impact on Legal Research and Strategy

AI has impacted industries from the medical to education, and the legal world is no different. But as I take a closer look at the impact of AI in my part of the legal world, I see it as useful but limited. Our firm uses some AI products to generate predictions regarding the examination of patent applications, such as what classification of invention or technology type the application will receive at the USPTO.  This is a useful way to check that we are communicating important aspects of inventions effectively and helps us predict how the examination is likely to proceed.  It is not perfectly accurate, but is accurate enough to be helpful and requires a lot less effort than the more manual approach we used before.

We have also explored the ability of AI to produce initial drafts of legal documents.  While it is true that working off an existing draft can often be more efficient than writing it from scratch, a pretty crucial step in writing a legal document is to think about the structure of the document and use that thinking to organize the writing.  Language-based AI is especially challenging to simulate, and the industry might not be there yet. Currently, AI does not help very much with certain kinds of legal writing.

As with every other advance in automation, it is not clear yet what impact this will have on employment and careers.  I’d say a big concern is that AI could be used to produce superficially passable legal work at discount prices.  Such output might appear, particularly to customers who are not well-versed in the law, to perform its function adequately, but may have hidden flaws that, absent responsible review by skilled practitioners, might not be discovered until it is too late.  What, for instance, will stop an unscrupulous lawyer from contracting to produce many wills or trust documents, use an AI platform to crank them out with little or no oversight, and pass the result off as his or her work?  In that case, many of the documents’ efficacy would not become apparent for years or decades and could lead to contention or loss long after our enterprising huckster has retired to a remote island.

Much like the AI that runs automated phone systems, AI-produced legal instruments may go through a period in which they adequately address the most common or typical issues, but fail to address, or perhaps miss entirely, the situations that require closer attention.  This is not the sort of thing people should gamble with, and it would be hard to prevent before it was able to do considerable damage.While AI is an exciting and possible time-saving technology there are still limitations on how it can be used, especially in the legal community.

To Know More, Read Full Article @ https://ai-techpark.com/the-impact-of-ai-in-the-legal-world/

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