In this episode of Ai News, David Shaw examines the question: is Ai tangible or realistic?
Most people agree that artificial intelligence (AI) will transform modern society in positive ways. From autonomous cars that will save thousands of lives, to data analytics programs that may finally discover a cure for cancer, to machines that give voice to those who can’t speak, AI will be known as one of the most revolutionary innovations of mankind. But this fantastic future is a long way off, and the path to get us there is still under construction. Never before has society undertaken such a significant transformation so deliberately, and no blueprints exist to guide us. Yet one thing is clear: AI is bigger than any one company, industry or country can address on its own. It will take the whole of our technology ecosystem and the world’s governments to realize the full promise of AI.
According to Intel’s Naveen Rao, much work lies ahead to build our AI-powered future. It will take all of us working collectively – industry, academia and government – to get it done. We all look forward to achieving together the positive impacts AI will bring.
Artificial intelligence is an exciting idea, but doesn’t seem tangible to the general public. So how do we change this perception?
Part of the answer relies heavily on governments around the world. If AI isn’t allowed to be embedded in everyday life, how can the next generation of bright minds understand the depths of one of the greatest up-and-coming technologies. I’m David Shaw, and we’ll explore this question in this episode of AI News.
Naveen Rao, the Corporate VP and General Manager of AI at Intel, has a game plan for how we can advance AI into governmental systems. The first step is through education.
Naveen believes that we have to start at the beginning, in elementary schools, and try to model curriculum with AI in mind. Just as kids learn skills like typing in school, they might also gain some guided computational skills. When it comes to STEM, more schools can try to incentivize students to excel in these fields by providing more grants and scholarships.
The Australian National University is already one step ahead. They are currently creating a degree specifically in artificial intelligence, which may be exciting enough to get students involved.
The next step is through research and development. Governmental systems should help develop methods for AI by funding human AI collaboration, research to delve into the safety and security of AI, and create shared public data sets and environments specifically for AI training and testing.
By getting governments to step in from the beginning, regulatory standards for the new technology will get defined much sooner. An example of how governments and technology have come together quite harmoniously is the government-funded initiatives in the UK. They support the use of AI for reducing disease in crops, for diagnosing illnesses early on, and more.
Finally, it comes down to the regulatory landscape of the government. It’s essential that before any laws are set forth limiting AI that there are constructive discussions on the topic, debating the various ways AI can be effective.
For example, AI could flip our viewpoint on health care and disease as we know it. Naveen explains, “De-identified data from medical records, genomic data sets, research and treatment programs could give AI the insight needed to make breakthrough discoveries in mental health, cardiovascular disease, drug therapies, and more.”
Naveen means that if the government allowed AI to have access to medical records and other vital data securely and safely, then this could be used to propel deep learning to accelerate our knowledge of global health.
Although there is still much work to be done to bring AI to the forefront of industry, education, and government, we must take it day by day and slowly work towards a bright and bustling AI-powered future. If you’d like to learn more about Naveen’s strategies, check out the article in the links provided. Thanks for watching AI News. We’ll see you next week.