![]() (The law was part of China’s pursuit of “ positive energy” online, under the country’s aggressive censorship.) The EU’s Artificial Intelligence Act, the first major, still-pending regulatory framework for AI that could set global standards, strives to curb algorithmic bias. China implemented a law in 2022 to reduce algorithmic influence on public opinion by enabling users to decline algorithmic recommendations on websites and apps. Lawmakers in the US Congress have proposed legislation to limit algorithmic promotion of extremist content by holding social-media platforms liable if certain forms of amplified content lead to offline violence, with other bills on the subject under consideration as well. This October, the White House published an AI Bill of Rights with a blueprint for addressing “algorithmic and data-driven harms” and potential remedies. The need for AI governance, particularly to rein in algorithms, is increasing-and policymakers have demonstrated an appetite for it. ![]() With such sweeping capacity to shape how individuals and societies order and consume information-from the mundane recommendations of photo feeds and shopping lists to the grave amplification of extremist conspiracy theories that cause real-world terror-algorithms (and their designers) hold some responsibility for the social and political consequences of the content they propagate and the decisions they advance. At their most complex, they drive machine learning and enable artificial intelligence (AI) to grow smarter and more sophisticated by the second. In their simplest form, algorithms are instructions or sets of rules-often used by computers-for completing a task. On search engines and social media, “recommendation algorithms” leverage user data and history to curate information for billions of people. Their influence is baked into everything from email and smartphones to GPS and government services. Check out their list of six snow leopards to watch closely in the year ahead.Īlgorithms are everywhere yet almost invisible, serving as the silent sifters and sorters of our lives. Our next-generation foresight experts at the Scowcroft Center for Strategy and Security brought a fresh perspective to the task of spotting the hard-to-spot. The actors involved also influence how much weight we give to events and trends: If a head of state were to announce a country’s economic disengagement from China, we would sit up and pay attention, but companies deciding one by one to proceed with such “decoupling” may fly under the radar. Other phenomena might be so woven into our daily lives that they’ve become invisible to us, as with the recommendation algorithms highlighted below. A technological breakthrough, for example, may not seem world-changing when still in development. The snow leopards discussed here are not predictions, but rather prompts for us to scrutinize overlooked phenomena. In the discipline of global foresight, as the Atlantic Council’s Peter Engelke wrote last year, a “snow leopard” is “a known but underappreciated-perhaps even forgotten-phenomenon” that has the potential to change the world and shape its future even though appearances might suggest otherwise. When sighted, these majestic cats seem to have come out of nowhere. Rare, elusive, and well-camouflaged, snow leopards are exceptionally hard to spot. It can be obtained from the Icicle Egg with the chance of 42%.We don’t see them, but they’re out there. The Snow Leopard is a Basic pet in Pet Simulator X.
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