In addition, users may become overly dependent on the model's outputs For the feedback, we ask the person "Please consider the quality of the Given a score (1-5). 1 means its quality is bad, and 5 means its quality is very good". The interface of the user study is shown in Fig. A1. We report the average scores in Tab. We have a total of 1.1M training data in FIRE. In Fig. A2, we present the curves of A T, A TR, A TR, and RR using different Results show that more data leads to better performance.

This week, Dana, Julia, and Stephen start by discussing the film, Women Talking. Then they chat about the new U.K. import Traitors with Slate's own Carl Wilson. Finally, they finish by talking ChatGPT and the coming of AI chatbots. Dana: Werner Herzog is in his somber, elegiac mode with The Fire Within: A Requiem for Katia and Maurice Krafft. Not to be confused with Fire of Love, about the same people, but made by Sara Dosa.

The widespread of offensive content online has become a reason for great concern in recent years, motivating researchers to develop robust systems capable of identifying such content automatically. With the goal of carrying out a fair evaluation of these systems, several international competitions have been organized, providing the community with important benchmark data and evaluation methods for various languages. Organized since 2019, the HASOC (Hate Speech and Offensive Content Identification) shared task is one of these initiatives. In its fourth iteration, HASOC 2022 included three subtracks for English, Hindi, and Marathi. In this paper, we report the results of the HASOC 2022 Marathi subtrack which provided participants with a dataset containing data from Twitter manually annotated using the popular OLID taxonomy. The Marathi track featured three additional subtracks, each corresponding to one level of the taxonomy: Task A - offensive content identification (offensive vs. non-offensive); Task B - categorization of offensive types (targeted vs. untargeted), and Task C - offensive target identification (individual vs. group vs. others). Overall, 59 runs were submitted by 10 teams. The best systems obtained an F1 of 0.9745 for Subtrack 3A, an F1 of 0.9207 for Subtrack 3B, and F1 of 0.9607 for Subtrack 3C. The best performing algorithms were a mixture of traditional and deep learning approaches.

Nor can AI explain how it reaches its conclusions. Like a lazy middle school student, even when the machine gets the right answer, it rarely shows its work, making it harder for humans to trust its methods. Worse still, this opacity can hide the instances when AI systems optimize for a goal that is not quite what their human creators had in mind. For example, one system designed to detect pneumonia in chest X-rays discovered that X-rays from one hospital were more likely than others to exhibit pneumonia because that hospital usually had sicker patients. The machine learned to look for the X-ray's hospital of origin rather than at the X-ray itself.

The electric 2022 Chevrolet Bolt EUV offers GM's hands-free Super Cruise highway driving assistang. Fox News Autos Editor Gary Gastelu lets it take him for a spin. Tesla has let some of its unofficial test drivers go. Elon Musk confirmed on Twitter that several Tesla owners that had opted into a Beta release of the automaker's latest Full Self-Driving semi-automated system have had their privileges revoked because they weren't paying enough attention to the road while using it. The feature, which Tesla drivers have pre-paid up to $10,000 for while it is in development, can "make lane changes off-highway, select forks to follow your navigation route, navigate around other vehicles and objects, and make left and right turns."

During the touchdown, which will last just a few seconds, the unmanned probe will use a projector device to shoot the "bullet" into the asteroid, blowing up material from beneath the surface. If all goes successfully, the craft will then collect samples that would eventually be sent back to Earth. Thursday's attempt is the first of three such touchdowns planned. The spacecraft is expected to touch down on the space rock around 6 p.m. ET. The brief landing will be challenging, given the uneven and boulder-covered surface.

Japan's robot hotel, the Hen-na ("Strange") Hotel, was supposed to represent the future of lodging with automatons taking care of things that previously required'inefficient' humans. That strategy is coming apart at the seams, however. Hen-na has'fired' over half of its 243 robots after the machines frequently created more problems than they solved. The cute Chu-ri robot you see above, for instance, frequently can't answer questions or may activate in the middle of the night due to snoring. And Chu-ri-chan is just the tip of the iceberg.

The Syrian Observatory for Human Rights says the first round targeted in the central desert area where Syrian troops and their Iranian-backed allies including Hezbollah are known to maintain bases. It cited unconfirmed reports of casualties among Syrian government forces and allied militiamen.