How to Avoid the Ethical Nightmares of Emerging Technology

How to Avoid the Ethical Nightmares of Emerging Technology

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Facebook, which was created in 2004, amassed 100 million users in just four and a half years. The speed and scale of its growth was unprecedented. Before anyone had a chance to understand the problems the social media network could cause, it had grown into an entrenched behemoth.

In 2015, the platform’s role in violating citizens’ privacy and its potential for political manipulation was exposed by the Cambridge Analytica scandal. Around the same time, in Myanmar, the social network amplified disinformation and calls for violence against the Rohingya, an ethnic minority in the country, which culminated in a genocide that began in 2016. In 2021, the Wall Street Journal reported that Instagram, which had been acquired by Facebook in 2012, had conducted research showing that the app was toxic to the mental health of teenage girls.

Defenders of Facebook say that these impacts were unintended and unforeseeable. Critics claim that, instead of moving fast and breaking things, social media companies should have proactively avoided ethical catastrophe. But both sides agree that new technologies can give rise to ethical nightmares, and that should make business leaders — and society — very, very nervous.

We are at the beginning of another technological revolution, this time with generative AI — models that can produce text, images, and more. It took just two months for OpenAI’s ChatGPT to pass 100 million users. Within six months of its launch, Microsoft released ChatGPT-powered Bing; Google demoed its latest large language model (LLM), Bard; and Meta released LLaMA. ChatGPT-5 will likely be here before we know it. And unlike social media, which remains largely centralized, this technology is already in the hands of thousands of people. Researchers at Stanford recreated ChatGPT for about $600 and made their model, called Alpaca, open-source. By early April, more than 2,400 people had made their own versions of it.

While generative AI has our attention right now, other technologies coming down the pike promise to be just as disruptive. Quantum computing will make today’s data crunching look like kindergarteners counting on their fingers. Blockchain technologies are being developed well beyond the narrow application of cryptocurrency. Augmented and virtual reality, robotics, gene editing, and too many others to discuss in detail also have the potential to reshape the world for good or ill.

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https://hbr.org/resources/images/article_assets/2023/05/01_BI_TECH_BLACKMAN_hero-1536x840.jpgCarolina Niño

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