"With great power comes great responsibility." You don't have to be a Marvel buff to recognize that quote, popularized by the Spider-Man franchise. And while the sentiment was originally in reference to superhuman speed, strength, agility, and resilience, it's a helpful one to keep in mind when making sense of the rise of generative AI. While the technology itself isn't new, the launch of ChatGPT put it into the hands of 100 million people in the span of just 2 months, something that for many felt like gaining a superpower. But like all superpowers, what matters is what you use them for. Generative AI is no different.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! The rapid growth in machine learning (ML) capabilities has led to an explosion in its use. Natural language processing and computer vision models that seemed far-fetched a decade ago are now commonly used across multiple industries. We can make models that generate high-quality complex images from never before seen prompts, deliver cohesive textual responses with just a simple initial seed, or even carry out fully coherent conversations.

The energy requirements of current natural language processing models continue to grow at a rapid, unsustainable pace. Recent works highlighting this problem conclude there is an urgent need for methods that reduce the energy needs of NLP and machine learning more broadly. In this article, we investigate techniques that can be used to reduce the energy consumption of common NLP applications. In particular, we focus on techniques to measure energy usage and different hardware and datacenter-oriented settings that can be tuned to reduce energy consumption for training and inference for language models. We characterize the impact of these settings on metrics such as computational performance and energy consumption through experiments conducted on a high performance computing system as well as popular cloud computing platforms. These techniques can lead to significant reduction in energy consumption when training language models or their use for inference. For example, power-capping, which limits the maximum power a GPU can consume, can enable a 15\% decrease in energy usage with marginal increase in overall computation time when training a transformer-based language model.

Elon Musk's Neuralink touts its brain chip as a way to help people suffering with mobility issues regain control of their lives, but has also proposed using the technology to merge humans with computer. The move would provide the average person with super-human intelligence that hooks their brain up to the cloud where memories can be stored, thoughts can be exchanged and experiences can be had. Although the abilities of an implanted chip may sound limitless, such wonders come with great responsibilities that Musk, scientists and other companies need to address – specifically privacy. 'If the widespread use becomes hooking us to the cloud, not as therapies, and merge humans with AI the economic model will be to sell our data,' Dr. Susan Schneider, the founding director of the new Center for the Future Mind, told Daily Mail. 'Our inner most thoughts would be sold to the highest bidder.

Managing Partner and Co-Founder of Scale-Up VC, a Silicon Valley venture capital firm based in Palo Alto, California. Experts have warned against its potential misuse. It's now affecting aspects of our lives that many of us never anticipated: healthcare, education, employment and even national security. What could I be talking about? Artificial intelligence, or the "big AI," as I call it.

The organisation of tomorrow will be built around data using emerging technologies. Big data analytics empowers consumers and employees. This will result in real-time decision making and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. When big data analytics, blockchain and AI are combined, it will change collaboration among individuals, organisations and things.

Artificial intelligence (AI) has been mainly the passion of data science labs and development shops. Lately, however, the implications of its potential impact on business -- in the form of enhanced customer service, expanded intelligent capabilities, and even society at large -- have become clearer. That means the time has come for business leaders to not only understand the implications of AI, but also step up and lead the way. That's because with the great power of AI comes great responsibility. "While AI is quickly becoming a new tool in the CEO tool belt to drive revenues and profitability, it has also become clear that deploying AI requires careful management to prevent unintentional but significant damage, not only to brand reputation but, more important, to workers, individuals, and society as a whole," write Roger Burkhardt, Nicolas Hohn, and Chris Wigley, all with McKinsey.

Reid Hoffman likes to say, "With great power comes great responsibility." Usually, he's referring to tech companies like the ones he has founded (LinkedIn), helped lead (PayPal), or advised (Microsoft) during his storied career. But he could also be talking about his own clout in the business world and his efforts to finance initiatives that aim to improve the world through civic action, education, and technology. He discussed some of those projects, including two organizations developing artificial intelligence to benefit society and an annual award that honors "responsible disobedience," in a conversation with MIT Media Lab director Joi Ito at the EmTech MIT 2017 conference in Cambridge, Massachusetts, on Wednesday. Hoffman also tries to use his influence to effect societal change.

SINGAPORE--The acclaimed HBO sci-fi series, "Westworld," may have wrapped up recently, but that's no reason to fret, James Marsden told the Inquirer when we chatted with him early this month. What are your thoughts about artificial intelligence (AI)? There's a quote that says it all: With great power comes great responsibility. That's what we should keep in mind when it comes to the future of artificial intelligence. There are smarter people out there who know its potential more than we do.