AI is a revolutionary technology that has helped humans to achieve greatness in numerous field. Especially in the field of education, the role AI plays is undeniably effective. Thousands of students use AI every day to study, understand new concepts, enhance decision making and improve productivity. Jamworks is an online platform that helps individals and companies in their education and businesses, It uses AI and provides features like recording online lectures, transcribing videos and much more

Privacy Concerns with the Use of Ai

However as AI is getting integrated in cloud platforms day by day, new questions regarding the data protection and confidentiality arise which need to be addressed by the software that use AI and cloud based technology. Some of the privacy and confidentiality concerns are as follows:

Data Ownership:

When organizations use cloud based storage, they entrust their data to third parties. This often raises the question of who has the data ownership. Is it the organizations or the third party apps. Therefore it is extremely important to depict data ownership beforehand to avoid these sorts of confusion.

Jurisdictional Concerns:

Cloud providers have a global nature which means that the data may transverse national borders. This can lead to jurisdictional challenges. Different countries have different legal frameworks and rules regarding data protection and privacy. This is why, it’s extremely important that the organisations must consider where their data is physically being stored, processed, and transferred. They should take into account the jurisdiction and rules of the country they are operating in.

Control Over Exclusive Information

Cloud-hosted AI services often deal with proprietary and confidential information. This can include intellectual property trade secrets, and sensitive business data. Organisations need assurance that they have control over this data. If an organisation loses the control over this sensitive data, data breaches can happen. This is why organizations should take steps to safeguard it.

What is Jamworks and how it ensure confidentiality?

Jamworks has extensive experience of working with AI. It Is committed to use this extensive experience to provide services to people with dtaa privacy and responsibility. The Jamworks AI, a powerful notetaking and productivity tool, has two core products: Jamworks for Education and Jamworks for Business.

Jam works for Education:

Transforms lectures into interactive and accessible study materials, catering to all students and addressing the unique needs of those with learning obstacles such as ADHD, dyslexia, or hearing impairment. Automated notetaking empowers students to focus during classes, and interactive study materials encourage exploration of topics in engaging ways.

Jamworks for Business:

Records in-person and online meetings, automatically highlighting key sections and generating action items to prevent the loss of important information. Offers major timesaving and productivity benefits to all employees, particularly benefiting team members with disabilities or neurodivergent individuals requiring assistive technology.

Privacy-Enhancing Technologies:

Cloud based ai technologies are getting popular day bt day. It makes it important to create privacy enhancing technologies to ptotect your dataa. These technologies are crucial to tackle data privacy challenges. One of the most effective technologies is the confidential computing. This technique uses advanced technologies such as hardware-based enclaves. Confidential computing creates a secure and isolated environment for processing data.

Hardware-based enclaves is the foundation of confidential computing. These enclaves act as secure containers to keep sensitive data encrypted and isolated while it is being processed. This prevents unauthorised access of the information. Confidential computing also depends on encryption to protect data during transit process.

Technical Assurance

Protecting sensitive data necessitates a comprehensive approach involving computing, containers, databases, and encryption. Technical assurance, ensuring that only authorized parties have access and control over data, becomes crucial. It goes beyond operational assurance and provides the highest level of privacy and protection, securing data at rest, in transit, and in use.

IBM’s Contribution: Hyper Protecting Sensitive Data and Workloads

IBM’s capabilities, including industry-leading security services for cloud data, digital assets, and workloads, play a vital role in securing sensitive data. Built on IBM® LinuxONE security-rich enclaves, these services offer built-in protection for data at rest and in flight. Notably, IBM Cloud Hyper Protect Services enable enterprises to have complete authority over their sensitive data, workloads, and encryption keys.

Jamworks’ Partnership with IBM Hyper Protec

Jamworks is partnering with IBM Hyper Protect to build confidential AI. This collaboration aims to create a powerful and secure form of Artificial Intelligence. Many industries see the potential benefits of using AI to make smarter decisions based on data. However, certain sectors, like those with strict regulations, intellectual property focus, and sensitivity towards data, have been hesitant to fully embrace AI.

However there are concerns due to which industries are still hesitating. The main reason of this hesitation are the questions about the data privacy, protection and confidentiality. In many sectors like health and finance, there is a huge amount of highly confidential daata that needs to be protected/ ad kept privaate.

To address these concerns, Jamworks is teaming up with IBM Hyper Protect. This partnership aims to build a form of AI that not only performs tasks effectively but also ensures the utmost privacy and security of the data it uses.

Transformative Impact of Confidential AI on Society

Now let us discuss what is the impact of confidential AI enabled by confidential computing. The confidential AI safeguards the protection of privacy. It ensures that sensitive data used by AI systems is protected throughout its life cycle. It addresses concerns about unauthorised access and breaches. Confidential AI uses efficient security systems to prevent data breaches and privacy concerns.

Conclusion

In conclusion, when using advanced technologies like artificial intelligence (AI) in the cloud, it’s important to be careful with sensitive information. We talked about who really owns the data, the rules in different countries, and how to keep control over important information. We also discussed the risks, like the chance of someone getting unauthorized access to the data or a security breach. To make sure everything is safe, organizations need to follow strong security rules and be aware of the laws in different places. By doing this, they can enjoy the benefits of AI in the cloud while keeping their data safe and sound.