Dear UNDIRA colleagues, as we all know, the Internet of Things (IoT) era has now enabled rapid data exchange and management. In order to thoroughly examine the potential and challenges of Generative AI and Machine Learning in the Industry 5.0 world, Universitas Dian Nusantara (UNDIRA) held a public lecture featuring two AI experts: Dr. Pratama Persadha, M.Sos., MM., as Chairman of the Cyber Security Research Institute CISSRECs, and Prof. Teddy Mantoro, as Professor in Computer Science, School of Computer Science, Universitas Nusa Putra.

The data exchange that is now relatively easy to obtain enables the design of learning series using machine automation, commonly known as Machine Learning.

Machine learning is the result of all compiled data, thus forming a Generative AI. Machine Learning itself is responsible for managing information through available data supply to obtain accurate results or results that approach the required criteria.

Generative AI and Machine Learning utilize the principles of Generative Adversarial Networks (GANs), which can be likened to a 'brain' for generating output according to given commands. From creating realistic videos with VEO 3, to mapping stock data for trading analysis through TradingView and Amibroker.

However, alongside the developments provided by AI, there are several challenges, especially when connected to work and research spaces. With the presence of Machine Learning and AI, the world that was initially structured and abstract is now filled with AI utilization, creating a 'blur' or fading space regarding credibility.

As we understand, UNDIRA colleagues, several job prospects and study programs are now impacted by the presence of AI, some of which include the realms of art as well as data management and information systems (especially programming).

We can take the example of Microsoft company that 'laid off' many of its employees, or ByteDance company (with its well-known product, TikTok), because AI development has taken over human roles.

The scope of warfare today is not only limited to physical attacks, but system breaches and cyber attacks can also occur. According to Prof. Teddy Mantoro, he reminds us that the presence of AI now also potentially endangers personal and national security (National Security Threat). AI can be used not only to breach security systems but also to create a set of more sophisticated viruses that are simultaneously difficult to detect and can come at unexpected times.

There is a term called Zero Day Vulnerabilities, which is a cyber threat that affects the modern technology world by exploiting weaknesses in software or systems that are not yet known to developers - or have not yet undergone fixes (patching).

Various irresponsible parties always haunt system weaknesses with the aim of finding undetected gaps to carry out attacks. One of the closest examples that can be encountered is bank breaches through the use of ransomware under the pretext of Bitcoin billing that occurred in Sweden 6 days ago, and this incident caused the paralysis of about 200 city departments.

Not only that, the presence of AI that now provides convenience is also considered to be able to reduce learning spirit and research through the cultivation of instant gratification. According to his presentation, Prof. Teddy further explained that the majority of data presented by AI is dummy data that needs to be carefully reviewed.

"AI also plays a role in influencing human thoughts and psychology through data stored in AI, therefore we are not recommended to depend on AI for life. 95% of systems on the Internet are junk data. This junk data can continuously influence human perception and thinking," said Prof. Teddy.

By knowing the potential and challenges that AI can provide, it is appropriate for us as academics to have integrity and professionalism in using AI. In our goal to create a safe and resilient digital ecosystem in supporting human civilization, we as users must also be adaptive so that we do not fall behind with technology and changing market demands.