Kala has deep ties to her Hawaiian roots. Her ancestors navigated (航行) the oceans for centuries using their knowledge of the stars, the sun, the currents and the wind. It’s not that she does it in a canoe without technology, but rather uses the natural technology around her. It’s called Way finding, and was taught to her by her father.

“My father was my foundation, my rock.” she says of her first voyage with him from Oahu to Lahaina in a traditional canoe. He taught her how to read the stars, the ocean swells and how to use them to hold the course. “Over 200 stars have specific names and purposes when you are Way finding. You have to look at each and determine if they are rising or setting. You know this star and the direction it represents. If you can do that, you can use it as a tool to orient (确定方向).” Kala added.

Kala Tanaka sailed the canoe in the ocean for up to three weeks. During the day, Kala used the sun until it hit a certain height. When she got closer to land, she looked for certain species of land birds and clouds that indicated there was land below. When Kala sailed she felt “I feel very connected to the crew and the canoe. We’re a family.” The longer voyage required Kala to spend hours studying the day and the night skies. It was demanding physical work. But it also had its moments of awe. For Kala, the beauty was in tying together the past and the present to enjoy the moment. So when she was not sailing, she was teaching Way finding skills to school-aged children in hopes of preserving the skills her ancestors relied on.

It’s easy to be lost in the immediacy of the technology of our day, to be consumed by screens and miss the nature that unfolds around us. But if we will take the time to look up, to see the stars and the sun, the way the clouds move, the miracle of life beneath and above us, we will discover something deep inside us, something that will always lead to happiness.

Artificial intelligence (AI) has become a fashion word in recent years, and its impact on society is growing rapidly. AI refers to the development of computer systems that can perform tasks that would typically require human intelligence, such as learning, problem-solving, and decision-making. This technology is transforming every industry, from healthcare to finance, and is expected to revolutionize the future.

One area where AI is making significant strides is healthcare. AI-powered tools can analyze vast amounts of medical data and help doctors make more informed diagnoses and treatment decisions. This technology is particularly useful in fields such as radiology, where AI algorithms can analyze medical images to detect abnormalities that may be missed by human eyes.

In finance, AI is being used to analyze vast amounts of data to identify patterns and predict market trends. This technology can help traders make more informed decisions and reduce the risks of financial losses. Similarly, AI -powered chatbots are being used in customer service, helping to improve response times and provide personalized support.

As the use of AI grows, concerns about job displacement have also arisen. Some fear that AI-powered machines and robots will replace human workers, leading to mass unemployment. While this is a possibility, it is also important to note that AI will create new jobs in fields such as data analysis, software development, and robotics.

Another major concern about Al is the potential for bias and discrimination. AI algorithms are only as good as the data they are trained on, and if that data contains biases, the algorithms will also be biased. This issue is particularly concerning in fields such as criminal justice, where AI-powered systems are being used to make decisions about sentencing. If these algorithms are biased, they could make existing inequalities continue in the criminal justice system.

Despite these concerns, the benefits of AI are numerous and undeniable. However, to ensure that these benefits are accessible to all and to address concerns about bias and discrimination, it is crucial to continue researching and developing moral AI.