Issues


Who should answer the ethical questions surrounding artificial intelligence?

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Continuing advancements in artificial intelligence (AI) for use in both the public and private sectors warrant serious ethical consideration. As the capability of AI improves, the issues of transparency, fairness, privacy, and accountability associated with using these technologies become more serious. Many developers in the private sector acknowledge the threats AI poses and have created their own codes of ethics to monitor AI development responsibly. However, many experts believe government regulation may be required to resolve issues ranging from racial bias in facial recognition software to the use of autonomous weapons in warfare. On Sept. 14, the Center for Technology Innovation hosted a panel discussion at the Brookings Institution to consider the ethical dilemmas of AI.


HOW ARTIFICIAL INTELLIGENCE WILL TRANSFORM AND IMPACT MARKETING

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Artificial Intelligence is the present and future of marketing! From Apple's intelligent assistant Siri to self-driving cars, from Tesla to Netflix, Artificial Intelligence is transforming industries one after other. It is one of the best innovations of mankind! According to Wikipedia "Artificial intelligence (AI) is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals". We rely on Artificial Intelligence for our various day to day tasks!


German firm's 7 commandments for ethical AI

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Frankfurt am Main (AFP) - German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people's rights, displacing workers or inheriting biases from its human designers. "SAP designed these guiding principles to steer the development and deployment of our AI software to help the world run better and improve people's lives," the firm said in a statement. Following in the footsteps of better-known US tech giants like Google and Microsoft, SAP -- which makes software for some 400,000 firms worldwide to manage data on customer relationships, payrolls or inventory -- is wrestling with how to impose values on AI's systems of algorithms designed to ape certain aspects of human intelligence. Public figures like entrepreneur Elon Musk or physicist Stephen Hawking have warned of the dangers of out-of-control AI. "The danger of AI is much greater than the danger of nuclear warheads by a lot," Musk said at a technology conference earlier this year. But rather than a scenario like those depicted in modern classics like "The Terminator" or "The Matrix" of computer programmes running amok over their human creators, SAP's concerns are closer to home.


IT Leaders Believe AI is a 'Silver Bullet' for Threats Artificial Intelligence and Cybersecurity

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One of the most common refrains about fighting in cyber space is that the offense has the advantage over the defense: The offense only needs to be successful once, while the defense needs to be perfect all the time. Even though this has always been a bit of an exaggeration, we believe artificial intelligence has the potential to dramatically improve cyber defense to help right the offense-defense balance in cyber space.


SAP's Guiding Principles for Artificial Intelligence - SAP News Center

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SAP has released its guiding principles for artificial intelligence (AI). Recognizing the significant impact of AI on people, our customers, and wider society, SAP designed these guiding principles to steer the development and deployment of our AI software to help the world run better and improve people's lives. For us, these guidelines are a commitment to move beyond what is legally required and to begin a deep and continuous engagement with the wider ethical and socioeconomic challenges of AI. We look forward to expanding our conversations with customers, partners, employees, legislative bodies, and civil society; and to making our guiding principles an evolving reflection on these discussions and the ever-changing technological landscape. We recognize that, like with any technology, there is scope for AI to be used in ways that are not aligned with these guiding principles and the operational guidelines we are developing.


SAP claims to be first Euro biz to get seriously ethical about AI code

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SAP has created an AI ethics panel to guide its use of machine-learning technology. If only it had a similar committee for fraud allegations: it might have avoided the corruption scandal engulfing it in South Africa. The German ERP giant – which is accused of kicking back $2m to secure state contracts – claimed it is the first European biz to create a external artificial intelligence ethics board: a five-person committee that includes technical experts and specialists in public policy, ethics, and bioethics. However, while several of them possess solid IT credentials, there's no one with a background in AI. Rather, expertise in the evolving field will come from inside SAP.


AI has far-reaching consequences for emerging markets

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Most studies about the impact of artificial intelligence (AI) on jobs and the economy have focused on developed countries such as the United States and Britain. Through my work as a scientist, technology executive and venture capitalist in the US and China, I have come to believe that the gravest threat AI poses is to emerging economies. In recent decades, China and India have presented the world with two different models on how countries can climb the development ladder. In the China model, the nation leveraged its large population and low costs to build a base of blue-collar manufacturing. The country then steadily worked its way up the value chain by producing better and more technology-intensive goods.


Bias in AI is a real problem. Here's what we should do about it

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The algorithm used by a credit agency might be developed using data from pre-existing credit ratings or based on a particular group's loan repayment records. Alternatively, it might use data that is widely available on the internet - for example, someone's social media behaviour or generalized characteristics about the neighborhood in which they live. If even a few of our data sources were biased, if they contained information on sex, race, colour or ethnicity, or we collected data that didn't equally represent all the stakeholders, we could unwittingly build bias into our AI.


Viewpoint: AI has far-reaching consequences for emerging markets - NextBillion

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Most studies about the impact of artificial intelligence (AI) on jobs and the economy have focused on developed countries such as the United States and Britain. Through my work as a scientist, technology executive and venture capitalist in the US and China, I have come to believe that the gravest threat AI poses is to emerging economies. In recent decades, China and India have presented the world with two different models on how countries can climb the development ladder. In the China model, the nation leveraged its large population and low costs to build a base of blue-collar manufacturing. The country then steadily worked its way up the value chain by producing better and more technology-intensive goods.


Why we shouldn't tax robots - Reaction

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Economists of all stripes would agree that investment and the application of technology drive economic activity. For decades governments around the world have made strenuous efforts to encourage investment and new technologies. Last year this orthodoxy came under fire from an unexpected source. In an interview with Quartz Bill Gates made the case for taxing robots at the same rate as human workers: "Right now, the human worker who does, say, $50,000 worth of work in a factory, that income is taxed and you get income tax, social security tax, all those things. If a robot comes in to do the same thing, you'd think that we'd tax the robot at a similar level."