SAFETY AND POLICY AROUND AI IN HEALTHCARE

Ensuring Trust and Safety: Our Commitment to Ethical AI Practices in Healthcare

ABOUT US

With decades of experiance in computer safety and assembly from hardware to software, we break it down for you here

IS THIS AI ?

Understanding AI Use


AI uses big sets of data and complex formulas. Sometimes, people aren't sure when AI is making decisions. To be clear and trustworthy, we follow the principle of transparency. We tell customers when AI is making important decisions. If users have concerns or disagree, they can provide feedback on our platform. We aim to keep communication open to build trust with customers, users, employees, and others. Healthbotics want to be clear and consistent about when AI is used, what it's meant for, the type of model, the data it uses, and the security and privacy measures. We want to make this information accessible and easy to understand. We also explain how to learn more about how we use AI

WILL MY DETAILS BE SECURE?

Protecting privacy in Ai


AI often uses personal data, and if not handled properly, it can impact your privacy and rights. When AI uses your data or makes decisions about you, there need to be privacy controls in place. These controls make sure that your data is used appropriately, for the right reasons, and in a fair way. We have built privacy protections into our platform as standard. Our privacy follow strict principles and guidlines to align with global privacy standards.

WILL THIS CATER FOR ME?

Ensuring fairness


AI systems can unintentionally reflect or magnify human biases. But they also offer a chance to understand and reduce bias in decision-making, making technology more inclusive. To make better decisions, it's crucial that the data used in training AI covers a diverse range of people. We are committed to finding and fixing any bias in our algorithms, training data, and applications that impact important decisions. These are decisions that could have legal or human rights consequences for individuals or groups. As part of our responsible AI approach, we've set up ways for customers to give feedback and raise concerns. 

HOW  RELIABLE IS ALL THIS ?

Trustworthiness in Ai


Think of AI like a super-smart assistant. We want it to be super reliable, like a trustworthy friend who always gives the right advice. For example, when AI is trained on certain data, it should consistently provide accurate and dependable results. Being a tech company, ensures that our AI is rigorously tested and designed for reliability. We want to make sure it always does what it's supposed to, no matter the situation.

HOW  SECURE IS THIS TECHNOLGY ?

Security in Ai


When it comes to AI, think of it like a fortress. Just like regular software has protections against bad viruses, AI needs to be strong and secure too. This means making sure it can handle all kinds of attacks and keeping your data safe. Healthbotics, for example, builds AI with top-notch security measures. They test it against all sorts of attacks, keep an eye on vulnerabilities, and make sure your data stays private and secure. It's like having a superhero shield protecting your data and our technology

WHAT IF SOMETHING GOES WRONG?

Responsibility in Ai


Being accountable for AI solutions and the teams creating them is crucial for responsible development and use. AI tools can have various applications, even unintended ones that weren't anticipated during development. Companies involved in AI need to take responsibility for their work. This involves putting in place the right rules and controls to make sure their AI works as planned and to prevent any misuse

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