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Three Guidelines For Ethical Use Of AI At Work

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The use of AI in the workplace has been motivating. Narratives of artificial intelligence (AI) collaborating with humans and automation to realize higher economic potential—boosting productivity, complementing human capabilities, and speeding up the creative process—have inspired us. However, we also cannot discount the possibility of AI being abused.

Concerns about the security, privacy, and safety of generative AI models have become more prevalent as they gain popularity. 84% of AI experts and implementers think that responsible AI should be a top management goal, according to research from the Boston Consulting Group and MIT Sloan Management Review. Just over half (56%) think business leaders are taking it seriously enough, though.

Think about the harm that could result from biased training data that skews AI judgment or the ability of these systems to disseminate false information widely. These systems operate with a lack of transparency, and sharing data with them carries the danger that it may be utilized for training purposes and exposed to other users.

Ensuring the ethical application of AI necessitates immediate and imperative governance. Since AI is developing too quickly for legislators to keep up with, it is the duty of developers and users to make sure AI is used ethically and for the greater good. UiPath is not an exception to this norm, as we are an AI innovator that permits the application of AI throughout our platform.

This post will assist in elucidating the several ways we’ve implemented AI at work and the safeguards put in place to keep users safe. As usual, our methodology is based on our fundamental AI and automation tenets, which are as follows: transparent, adaptable, and accountable.

Establishing An Open Ecosystem To Promote Excellence In AI

We don’t think a single business will ever hold a monopoly on the greatest AI capabilities. In the end, “AI” encompasses a wide spectrum of various instruments and technology. Naturally, there is generative AI, but there is also specialized AI, which consists of models trained for a particular business process or job, such as sentiment analysis or document processing. Every one of them provides value for the business, and no one company can ever be the greatest for everything. For the sake of our clients and the AI sector, we want to keep this variety.

UiPath approaches AI in an open manner because of this. Our goal is to enable our users to mix and match the most effective specialized and generative AI models. We provide customers the option to select from a selection of elite AI models developed by UiPath, or they can take full control of their AI governance and employ models contributed by users, or even models from outside sources such as OpenAI.

UiPath has long created specialized AI models. Many services, including UiPath Task Mining, Process Mining, and Document Understanding, are available on our platform. Then there’s UiPath interactions Mining, which gives companies access to a cutting-edge large language model (LLM) to comprehend and automate business interactions. LLMs are the cornerstone technology of Generative AI.

However, we understand how valuable it is to provide features that use generative AI. We recently revealed that Generative AI will be used by UiPath Document Understanding and UiPath Communications Mining to speed up user model training. With our future Project “Wingman,” which is currently accessible in private preview, users may easily develop effective automations by utilizing natural language prompts.

AI capabilities are always indicated so that UiPath users are aware of their alternatives. This gives consumers the ability to choose how to utilize technology in an ethical and well-informed manner.

AI that is flexible and changes with the user, not the other way around. Being able to adjust our models to the needs of consumers is essential to us as AI solution developers. Accidents occur when a customer is forced to select an off-the-shelf product that doesn’t quite fit their use case. When utilizing AI to make judgments that directly affect your consumers or that must be compliant, accuracy is crucial.

We consider model flexibility carefully because of this. The adaptable UiPath Business Automation Platform is made to precisely match our clients’ requirements. By combining various AI models, user interfaces, and application programming interfaces through UiPath Integration Service and Activities, the UiPath Platform helps users to create unique processes. Customers can easily incorporate the model of their choice straight into the UiPath Platform with these services.

Additionally, customers can alter our models to better fit their unique activities and domains. Think about how distinct and distinctive each business is. No “one-size-fits-all” solution is appropriate. Fortunately, Communications Mining and Document Understanding’s fine-tuning tools allow for the creation of exact and customized automations. Everyone benefits from increased performance, safety, and accuracy as a result.

Guidelines for ethical AI. For AI to get better, data is required. However, users have a right to know that their data is secure. It is UiPath’s duty to guarantee that the data utilized to create our tools is safe, legally obtained, and well-managed. We take several approaches to this:

Compliant And Lawful Data Gathering

GDPR compliance, including data deletion, requires accurate and balanced data in UiPath models and algorithms to overcome bias in the training data
The platform is continuously examined for issues related to bias, privacy, and data security, which helps to create reliable AI. Here, we’ve even managed to innovate a little. Biased or erroneous models are typically the product of inadequate training rather than malicious intent. When an AI model is properly trained and balanced, it can be hard to tell, especially for regular business users. This issue is resolved by UiPath Communications Mining’s Model Rating function. With the ability to rate a model for performance, accuracy, and balance, the validation process is mostly automated. Subsequently, the UiPath Platform provides customers with a fully guided improvement experience, outlining the necessary steps for refining the model.

UiPath encourages openness and human-centeredness in AI. With Workflow Analyzer and Automation Ops, we have provided customers with the means to manage their automations directly integrated into UiPath Studio and Robot. In addition, we have established rigorous criteria for assessing AI and LLM products from outside sources. Making sure that actions are done to lessen bias, malicious intent, and other risks is our goal.

Enable moral humans before creating ethical AI. Providing The Foundation of InnovationTM entails adopting cutting-edge technologies that advance humankind. UiPath gives customers the flexibility to apply these potent features in a variety of ways that suit their automation requirements as well as their security, governance, and risk profile. This is how we approach AI at work. It’s critical that the ways in which these potent technologies are used are just as morally and responsibly as the individuals for whom they are intended.

Additionally, we think that people should be given the tools they need to comprehend and use developing technologies appropriately, and that these tools should be democratized. This is the rationale behind the creation of AI-focused courses for the UiPath Academy curriculum.

The tale of AI is far from over, despite the last several years’ astounding advancements. Its creators and users will primarily tell this tale, and it is their duty to share accountability and promote the moral development of technology. UiPath is supporting them. Our goal is to provide our customers with the knowledge and resources they need to use AI responsibly by developing reliable AI features.