One of the important things in the Industrial Revolution 4.0 era was online learning. Therefore, this article describes data about student perceptions related to online learning and data on how long students have been familiar with the internet, what devices are used, and what they are used for. This data includes all departments in the Faculty of Mathematics and Natural Sciences of Universitas Negeri Makassar (FMIPA UNM), Indonesia. The sample in this data are 250 students from various departments at FMIPA UNM. The data collection method used was a questionnaire. The results of this data collection we present some of the questions variables/items included in the dataset. The findings from the data show that about 75% of students of FMIPA UNM agree with the use of online learning. In general, the characteristics of students in every province in Indonesia are "similar" in terms of thinking related to online learning i.e. millennial students, moreover most students already use the internet as a primary need for learning, so this data has policy implications for higher education in Indonesia during the industrial revolution 4.0.

The wide scale adoption of Artificial Intelligence (AI) will require that AI engineers and developers can provide assurances to the user base that an algorithm will perform as intended and without failure. Assurance is the safety valve for reliable, dependable, explainable, and fair intelligent systems. AI assurance provides the necessary tools to enable AI adoption into applications, software, hardware, and complex systems. AI assurance involves quantifying capabilities and associating risks across deployments including: data quality to include inherent biases, algorithm performance, statistical errors, and algorithm trustworthiness and security. Data, algorithmic, and context/domain-specific factors may change over time and impact the ability of AI systems in delivering accurate outcomes. In this paper, we discuss the importance and different angles of AI assurance, and present a general framework that addresses its challenges.