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AI for Good: Three Principles for Using AI Responsibly at Work| The Xperts Pakistan

Written by Azhar Farooq


The impact of AI at work has been impressive. We are inspired by the stories of Artificial intelligence (AI) Working together with people and automation to achieve greater business efficiency — accelerating the creative process, enhancing human capabilities, and increasing productivity. But we also cannot ignore the potential of AI to be used for harm.

The growing popularity of generative AI models has raised many questions on their safety, security and especially data privacy. According to the results obtained from MIT Sloan Management Review and Boston Consulting Group84% of AI experts and implementers believe responsible AI management should be a top priority. However, more than half (56%) believe it is being taken seriously enough by business leaders.

Consider the damage that can be caused by biased training data that hinders AI decision-making, or the ability of these systems to spread misinformation on a large scale. There is a lack of transparency in how these systems work, and the risk that the data you share with them could be used for training and exposed to another user.

To ensure the ethical use of AI, there is an urgent and pressing need for proper governance. AI evolves too quickly for policymakers, so the onus falls on creators and users to ensure their use of AI is beneficial and ethical. As an AI innovator that enables the implementation of AI on our platform, UiPath is no exception to this rule.

This article will help explain the different ways we implement AI at work, along with the controls we put in place to protect users who use them. As always, our approach is based on our core AI and automation principles: open, flexible, and responsive. As highlighted here..

1. Creating an open ecosystem for AI excellence

We cannot believe that any one company will ever have a monopoly on the best AI capabilities. After all, ‘AI’ refers to a diverse range of different tools and technologies. There is, of course, generative AI, but there is also specialized AI, which involves models that are trained for a specific business task or process, such as document processing or sentiment analysis. Each has value to the enterprise and no one company can be the best at all of them. Our goal is to maintain this diversity for the benefit of our customers and the AI ​​industry.

This is why UiPath follows an open approach to AI. We want our customers to be able to combine the best generative and specialized AI models. We enable them to choose from a list of advanced AI models built by UiPath, or they can take full control of their AI governance and user-contributed models, or models from external providers such as OpenAI. can also be used.

Special AI models have long been developed by UiPath. Our platform provides multiple offerings viz UiPath Task Mining, Process miningAnd Document understanding. Then there is UiPath Communications Miningwhich gives businesses access to the latest Large Language Model (LLM), a foundational technology for generative AI, to understand and automate their business communications.

Still, we recognize the immense value of introducing features with generative AI capabilities. We announced recently that UiPath Document Understanding and UiPath Communications Mining will leverage generative AI to accelerate model training for users. Our coming Project “Wingman”now available in private preview, enables users to create powerful automations using only natural language cues.

In all cases, AI capabilities are clearly marked to ensure UiPath users know what their options are. It enables users to make informed and ethical decisions about the use of technology.

2. Flexible AI that adapts to the user—not the other way around.

As creators of AI solutions it is vital that our models can adapt to the needs of users. When a customer has no choice but to choose an off-the-shelf model that doesn’t meet their use case, accidents happen. Accuracy means the world when you’re using AI to make decisions that directly affect your customers, or that need to be tailored.

That’s why we take model flexibility seriously. The UiPath Business Automation Platform is a flexible platform designed to meet the exact needs of our customers. The UiPath platform enables users to create customized workflows through multiple AI models, user interfaces, and application programming interfaces. UiPath Integration Service And Activities. These offerings make it easy for customers to integrate the model of their choice directly into the UiPath platform.

Moreover, users can customize our models according to their specific tasks and domains. Consider how different and unique each enterprise is. There is no room for a ‘one size fits all’ solution. Thankfully, tailored and accurate automations can be created with the fine-tuning features of communications mining and document understanding. This results in improved accuracy, efficiency and safety for everyone.

3. Guardrails for Responsible AI

Data is needed to improve AI systems. But consumers deserve the right to know their data is safe. UiPath has a responsibility to ensure that the data used to build our tools is of good quality, obtained legally, and managed securely. We do this in different ways:

  • Legal and Compliant Data Collection

  • Appropriate measures to ensure data processed in the UiPath platform are secure.

  • Validate and balance data in UiPath models and algorithms to remove bias in training data

  • GDPR compliance, including data deletion

The platform is actively reviewed for privacy, bias, and data security concerns, helping to develop trusted AI. We even got some innovation. In general, incorrect or biased models are the result of poor training rather than bad intentions. Especially for typical business users, it can be difficult to know when their AI model is sufficiently trained and balanced. UiPath Communications Mining solves this problem through its model rating feature. This capability largely automates the model validation process, assigning it scores for efficiency, accuracy and balance. The UiPath platform then provides users with a fully guided improvement experience, showing them what steps they should take to improve the model.

UiPath promotes human-centricity and transparency in AI. We’ve given users the tools to control their automations directly into it. UiPath Studio And Robot through Workflow Analyst And Automation operations. We have also developed robust criteria for evaluating third-party AI and LLM technologies. We aim to ensure measures are taken to reduce bias, malicious intent and other risks.

Read the full list of responsible AI principles.

To create ethical AI, first enable ethical humans.

to provide The foundation of innovation™ means embracing new technologies that move the world forward. In our approach to AI in the workplace, UiPath enables customers to implement these powerful capabilities in multiple ways that fit their automation needs as well as their security, governance, and risk posture. . It is important that these powerful technologies are used in ways that are as responsible and ethical as the people they serve.

Additionally, we believe there is a need to democratize emerging technologies and put the tools in the hands of users to understand and use accordingly. This is why we are developing dedicated AI courses as part of the curriculum. UiPath Academy.

For all the amazing progress of the past few years, the AI ​​story has only just begun. It is a story that will largely be told by its developers and users, who have a responsibility to share accountability and advance the ethical development of the technology. UiPath is behind them. We are committed to building trusted AI properties, giving our customers the tools and information they need to use AI responsibly.

If you’d like to learn more about the principles that guide our AI development, and see what’s coming next, be sure to Reserve your spot on FORWARD VI..

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