PRESIDENT Prabowo Subianto has been in office for approximately 10 days and has moved quickly to arrest dozens of suspected corruptors.
A number of corruption cases include ensnaring one person from PT Asset Pacific as a new suspect in alleged corruption in crude palm oil export permits (crude palm oil/CPO) and its derivatives in the 2021-2022 period which reached a loss of IDR 1 trillion, two people from the Village Fund corruption case, Air Besi District, North Bengkulu Regency worth IDR 780 million, five people were suspects in the Ronald Tannur case.
Then, 12 suspects of corruption on the Padang-Pekanbaru toll road which cost the state Rp. 27 billion, six suspects for illegal gold production by PT Antam Tbk, one suspect for corruption in NPCI grant funds, namely Member of the Solo DPRD, Kevin Fabiano, worth Rp. 122 billion.
Finally, one suspect in sugar import corruption, namely former trade minister Tom Lembong, caused losses of up to IDR 400 billion.
Thus, a total of 28 suspects have been arrested so far with total state losses reaching IDR 3.1 trillion.
Since the beginning of his term as president, Prabowo has often emphasized his great commitment to eradicating corruption in Indonesia. Prabowo also said he would provide a strict monitoring system to eradicate corruption. Apart from that, Prabowo will also strictly enforce the law.
“In my opinion, what is worse is greed, greed, a very big desire to obtain as much wealth as possible so that he can be in power for a long time,” said Prabowo. (D-2)
#Presidents #Quick #Action #Arrest #Corruption #Suspects
**Interview with AI Researcher Dr. Emily Hayes on the Risks of AI-Generated Content**
**Editor:** Thank you for joining us today, Dr. Hayes. Recently, there has been a significant discussion around the implications of using AI-generated content for training and learning purposes. Can you summarize the main concern around this issue?
**Dr. Hayes:** Absolutely! The primary concern is that relying too heavily on AI-generated content could lead to what we call “model collapse.” This occurs when AI systems begin to lose touch with reality because they’re primarily trained on outputs from other AIs, rather than real-world data and human experiences. Essentially, if we train AI exclusively on AI-generated content, we risk creating systems that are detached from accurate information and genuine human understanding.
**Editor:** That sounds alarming. What are the potential consequences of model collapse in AI systems?
**Dr. Hayes:** The consequences can be quite serious. Firstly, it can result in a feedback loop where inaccuracies multiply, leading to widespread misinformation. This can undermine the credibility of AI as a tool for learning and decision-making. Additionally, it can hinder the AI’s ability to understand nuanced human concepts, emotions, and cultural contexts, which are crucial for its application in areas like healthcare, education, and customer service.
**Editor:** Some might argue that AI can generate creative and useful content. How do we balance this with the risks you’ve mentioned?
**Dr. Hayes:** That’s a great question. One effective strategy is to ensure we integrate diverse data sources into AI training processes. This means using a combination of human-generated content, verified data, and robust real-world inputs alongside AI-generated material. Human oversight in the training process is crucial to maintaining that connection to reality.
**Editor:** Are there any steps being taken to address these issues in the current AI landscape?
**Dr. Hayes:** Yes, there are initiatives aimed at improving AI training protocols. Researchers and developers are advocating for ethical guidelines that prioritize the use of diverse datasets. There’s also a push for transparency in AI decisions and outputs, allowing users to understand how AIs are making their recommendations. These efforts are essential in preserving the integrity of AI systems.
**Editor:** Thank you, Dr. Hayes, for shedding light on this critical issue. It’s a reminder of the importance of being vigilant about how we use AI technology in our society.
**Dr. Hayes:** Thank you for having me! It’s vital that we continue these discussions as AI evolves.
