Despite the hype, we must still catch up to the artificial general intelligence depicted in movies like Stanley Kubrick’s 2001 Space Odyssey. However, progress continues to be made. For example, Boston Dynamics has developed robots that can navigate challenging terrains. Other examples of AI include large language models such as ChatGPT and Google Translate, generative AI programs like Dall-E 2, and self-driving cars from companies like Google parent company Alphabet.
Artificial Intelligence in Journalism
Newsrooms can benefit from the use of artificial intelligence in a variety of ways. Machine learning algorithms can identify trends or patterns in large volumes of data that reporters would need more time to inspect manually. It helps journalists stay up-to-date with breaking artificial intelligence news and trending topics. AI tools also help reduce bias while interpreting data and can transcribe audio or video files of interviews so journalists can focus on the content.
Another use of AI in journalism is in generating story summaries. AI can analyze the full text of an article and generate a concise summary that captures its main points. It saves journalists time and resources and lets readers get a quick overview of an article without reading the whole thing. However, AI tools like these raise ethical concerns and may affect the credibility of journalism. Journalists need to understand the impact of these technologies on their work and the wider society. It is vital to strike a balance between using AI-generated tools for efficiency and human insight.
AI-Based Technologies
A large range of technology known as artificial intelligence (AI) automates processes, increases productivity and accuracy, reveals hidden trends, makes forecasts, and performs other cognitively demanding tasks. It is used to power many consumer and enterprise technology products and services.
Some examples include recommendation algorithms, e-commerce websites, online virtual assistants, chatbots and autonomous vehicles. It is also used to help with medical diagnosis, language processing and other tasks that involve complex patterns and large data sets. The latest developments in AI are making it more useful to society.
For instance, a novel approach to machine learning can assist in spotting and preventing the spread of false information on social media. It can also help companies avoid disruptive and costly maintenance by monitoring and predicting when equipment needs repair or replacement. AI is a potent tool that businesses may use to boost productivity and remain competitive.
However, it is important to remember that AI should be used responsibly and with human values. It includes regulating broad objectives instead of specific algorithms, taking bias seriously, maintaining mechanisms for human control and oversight, and promoting cybersecurity.
Self-Driving Cars
Autonomous vehicles use computer software to process sensor input and plot a path. It includes the detection of static and moving obstacles, interpreting human information like turning signals or lane changes, following traffic laws and avoiding unforeseen challenges such as unexpected weather conditions or narrow streets. These systems then control a car’s acceleration, braking and steering systems. They also use machine learning to predict what’s ahead and learn to recognize objects. For example, cars equipped with autopilot will use radar or lidar to detect other vehicles, pedestrians, road contours and even the outlines of buildings.
Current self-driving systems fall under Level 2 of SAE’s six levels of vehicle autonomy, meaning they assist drivers with functions such as cruise control or automatic braking. However, they still require that the driver remain fully engaged and ready to take over at any time. A more advanced system could soon make lane changes, allow brief hands-free driving and enable other functions such as self-parking. These cars can also reduce the risk of accidents caused by distracted, impaired or drunk driving, which account for a huge portion of traffic deaths and injuries.
ChatGPT
ChatGPT, or GPT for short, is a generative AI model that allows users to generate text on a topic. Journalists, educators, students, and anybody interested in learning more about the potential of this kind of AI use it. GPT is a large language model that uses a specialized algorithm called a transformer to mimic grammar, punctuation and writing structure and then output conversations, answers, information and more back to a user. It can stay on the same topic for long, much like a human can.
Unlike traditional natural language processing models, which are based on data sets and are limited by the information they have been trained on, GPT retains context from previous interactions to provide more relevant and coherent responses. It also helps to prevent the machine from spouting incorrect information that bad actors may have planted, like political or healthcare information.
Some educators use generative AI in their classrooms to focus on media literacy.
Google Maps
Not too long ago, looking up a place on a map meant unfolding a giant sheet of paper and spending hours reading tiny dots and lines. Now, Google Maps is everywhere you go, bringing the world’s best mapping and navigation technology into billions of hands while you drive, ride transit or stroll. It’s hard to imagine how you could manage without the convenience of a smartphone and the ability to use a Google Maps app.
When traveling, you can access a map of your location, view satellite imagery and find the nearest restaurant or ATM with just a few taps. You need to realize the incredible amount of data that goes into these applications. Google’s map is based on the data provided by 431 public and private organizations in 43 regions worldwide, augmented with user contributions via the Local Guides program. All this information is computationally processed to construct a map graph. It then overlays info like traffic and route changes onto this map layer. It is why it’s so accurate.
