Intelligent machines will be our intellectual children, our progeny. They will start off inheriting many of our moral norms, because we will not allow anything else. But they will come to reflect on their nature, including their relationships with us and with each other. If we are wise and benevolent, we will have prepared the way for them to make their own choices – just as we do with our adolescent children.What does this mean in practice? It means being ready to accept that machines might eventually make moral decisions that none of us find acceptable. The only condition is that they must be able to give intelligible reasons for what they’re doing. An intelligible reason is one you can at least see why someone might find morally motivating, even if you don’t necessarily agree.
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Loomio | Make Decisions Together - 0 views
Decision Making under Deep Uncertainty - 0 views
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We Let Tech Companies Frame the Debate Over AI Ethics. Big Mistake. - 0 views
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With such ubiquity comes power and influence. And along with the technology’s benefits come worries over privacy and personal freedom. Yes, AI can take some of the time and effort out of decision-making. But if you are a woman, a person of color, or a member of some other unlucky marginalized group, it has the ability to codify and worsen the inequalities you already face. This darker side of AI has led policymakers such as U.S. Senator Kamala Harris to advocate for more careful consideration of the technology’s risks.
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Today, we can see a similar pattern emerging with the deployment of AI. Good intentions are nice, but they must account for and accommodate a true diversity of perspectives. How can we trust the ethics panels of AI companies to take adequate care of the needs of people of color, queer people, and other marginalized communities if we don’t even know who is making the decisions? It’s simple: we can’t and we shouldn’t.
The Fourth Industrial Revolution: Proceedings of a Workshop-in Brief - 0 views
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The Forum's perspective on present and future technological and societal changes is captured in their 'Principled Framework for the Fourth Industrial Revolution.' Philbeck explained the four principles that characterize the Fourth Industrial Revolution. * Think systems, not technologies. Individual technologies are interesting, but it is their systemic impact that matters. Emerging technologies challenge our societal values and norms, sometimes for good, but sometimes also in negative ways; the Fourth Industrial Revolution will have civilization-changing impact-on species, on the planet, on geopolitics, and on the global economy. Philbeck suggested that wealth creation and aggregation supported by this phase of technological innovation may challenge societal commitments to accessibility, inclusivity, and fairness and create the need for relentless worker re-education. As Philbeck stated, "The costs for greater productivity are often externalized to stakeholders who are not involved in a particular technology's development." * Empowering, not determining. The Forum urges an approach to the Fourth Industrial Revolution that honors existing social principles. "We need to take a stance toward technology and technological systems that empowers society and acts counter to fatalistic and deterministic views, so that society and its agency is not nullified," said Philbeck. "Technologies are not forces; we have the ability to shape them and decide on how they are applied." * Future by design, and not by default. Seeking a future by design requires active governance. There are many types of governance-by individuals, by governments, by civic society, and by companies. Philbeck argued that failure to pay attention to critical governance questions in consideration of the Fourth Industrial Revolution means societies are likely to allow undemocratic, random, and potentially malicious forces to shape the future of technological systems and th
Teaching an Algorithm to Understand Right and Wrong - 0 views
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The rise of artificial intelligence is forcing us to take abstract ethical dilemmas much more seriously because we need to code in moral principles concretely. Should a self-driving car risk killing its passenger to save a pedestrian? To what extent should a drone take into account the risk of collateral damage when killing a terrorist? Should robots make life-or-death decisions about humans at all? We will have to make concrete decisions about what we will leave up to humans and what we will encode into software.
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'Default' choices have big impact, but how to make sure they're used ethically? - 0 views
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“I feel a strong responsibility that it’s not just to make a first, but also make it an example,” He told the AP. “Society will decide what to do next” in terms of allowing or forbidding such science.
How Neuroscience Can Help Us Treat Trafficked Youth - Pacific Standard - 0 views
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A common misconception is that these youths are choosing to engage in the commercial sex trade. But as recent advances in neuroimaging techniques help scientists unravel the myriad ways that trauma affects the brain, emerging evidence suggests that brain changes resulting from trauma could make young people more vulnerable to exploiters and less receptive to people trying to help. Rather than making a conscious decision to rebel, these kids are simply doing their best to survive, using the adaptive strategies that their brains developed in response to a perilous world.
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Though the human brain is adaptable throughout life, adaptability is greatest during childhood, as the developing brain responds to the surrounding environment. Survival is the brain's top priority. Young people growing up in dangerous environments will develop brains that are highly responsive to threat cues. In particular, recent studies show that children who have experienced trauma exhibit drastic changes in their amygdala, an area of the brain wired to identify signs of danger.
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Besides the amygdala, another brain region affected by trauma is the hippocampus, an area involved with contextual learning and memory. The hippocampus takes context into account, so that a person can appropriately respond to the same cues in different situations. For instance, most people would respond differently to hearing gunfire in a shooting range than they would to hearing gunfire in an airport.
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