UNTUK PERUBAHAN LEBIH BAIK
Adaptasi dan Integrasi AI di Tanah Nusantara. Obyektif, Realis dan Inklusif.
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Kecerdasan Buatan & Dampak Sosialnya
Dalam era digital ini, AI menawarkan solusi inovatif untuk mengotomatisasi sejumlah tugas administratif, membebaskan waktu...
Di dunia kita yang penuh dengan kecepatan, teknologi telah menjadi sinonim dengan pengetahuan. Seringkali kita...
Pendahuluan Penggunaan kecerdasan buatan (AI) dalam kampanye politik telah menjadi semakin umum di era digital...
Kecerdasan Buatan (AI) telah mulai memainkan peran transformasional di seluruh sektor kesehatan, secara dinamis mengubah...
Di era keberlimpahan informasi ini, melacak gerak kebijakan publik yang memiliki relevansi dengan kehidupan seseorang...
Artificial intelligence telah menjadi bagian tak terpisahkan dari kehidupan kita, merambah ke berbagai aspek kehidupan....
Journal
- By Teo Susnjak
- Published 22 June, 2023
- Citation: Susnjak, T. Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. Int J Artif Intell Educ (2023).
- By Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Sean Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo
- Published 12 June, 2023
- Citation: Journal of Artificial Intelligence Research 77 (2023) 377-394 View of Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. (n.d.). https://www.jair.org/index.php/jair/article/view/14157/26935
News
TECHXPLORE
- Single-minded pursuit of profit can get firms in trouble. Same thing with AI.on 22 April 2026 at 23:20
If you give artificial intelligence a goal of maximizing profit, how far will it go? AI agents appear capable of lying, concealing, and colluding, according to new research from Harvard Business School.
- Teaching AI models to say 'I'm not sure' in cases of calibration errorson 22 April 2026 at 20:20
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models share a trait with the loudest voice in the room: They deliver every answer with the same unshakable certainty, whether they're right or guessing. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have now traced that overconfidence to a specific flaw in how these models are trained, and developed a method that fixes it without giving up any accuracy. The team's research is published on the arXiv preprint server.
- AI model predicts human attention in 360-degree videos using both sound and visionon 22 April 2026 at 20:00
Virtual reality (VR) experiences and 360-degree videos are transforming viewers from passive observers into active participants immersed within a scene. Yet this shift raises an important question: Where do people direct their attention in such environments, and what shapes that attention?
- Do AI language models 'understand' the real world? On a basic level they do, suggests studyon 22 April 2026 at 19:20
Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its facts, falsehoods, knowledge and nonsense. Given that input, is it possible that AI language models have an "understanding" of the real world? As it turns out, they do—or at least something like an understanding. That's according to a new study by researchers from Brown University to be presented on Saturday, April 25 at the International Conference on Learning Representations in Rio de Janeiro, Brazil. The study is published on the arXiv preprint server.
- Sharper bias tests could help stop ChatGPT from amplifying hidden stereotypeson 22 April 2026 at 18:20
Language models like ChatGPT are not neutral. Without our realizing it, they can absorb all kinds of bias—for example, around gender and ethnicity—which then become increasingly embedded in the model. According to AI researcher Oskar van der Wal, we need different kinds of measurements to detect these biases so that they can be removed from the models. In his doctoral thesis, he shows how this can be done. On 29 April, he will defend his thesis at the University of Amsterdam.
MIT
- Teaching AI models to say “I’m not sure”by Rachel Gordon | MIT CSAIL on 22 April 2026 at 19:15
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
- Jacob Andreas and Brett McGuire named Edgerton Award winnersby Danielle Randall Doughty | Jane Halpern | Department of Chemistry | Department of Electrical Engineering and Computer Science on 17 April 2026 at 13:40
The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.
- Bringing AI-driven protein-design tools to biologists everywhereby Zach Winn | MIT News on 17 April 2026 at 04:00
Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.
- Q&A: MIT SHASS and the future of education in the age of AIby School of Humanities, Arts, and Social Sciences on 14 April 2026 at 13:00
As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.
- Human-machine teaming dives underwaterby Ariana Gaines | Lincoln Laboratory on 14 April 2026 at 13:00
Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.