Well File:

ethics


Ethics in Robotics and Artificial Intelligence

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As robots are becoming increasingly intelligent and autonomous, from self-driving cars to assistive robots for vulnerable populations, important ethical questions inevitably emerge wherever and whenever such robots interact with humans and thereby impact human well-being. Questions that must be answered include whether such robots should be deployed in human societies in fairly unconstrained environments and what kinds of provisions are needed in robotic control systems to ensure that autonomous machines will not cause humans harms or at least minimize harm when it cannot be avoided. The goal of this specialty is to provide the first interdisciplinary forum for philosophers, psychologists, legal experts, AI researchers and roboticists to disseminate their work specifically targeting the ethical aspects of autonomous intelligent robots. Note that the conjunction of "AI and robotics" here indicates the journal's intended focus is on the ethics of intelligent autonomous robots, not the ethics of AI in general or the ethics of non-intelligent, non-autonomous machines. Examples of questions that we seek to address in this journal are: -- computational architectures for moral machines -- algorithms for moral reasoning, planning, and decision-making -- formal representations of moral principles in robots -- computational frameworks for robot ethics -- human perceptions and the social impact of moral machines -- legal aspects of developing and disseminating moral machines -- algorithms for learning and applying moral principles -- implications of robotic embodiment/physical presence in social space -- variance of ethical challenges across different contexts of human -robot interaction


Why are we failing at the ethics of AI? A critical review

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Anja Kaspersen and Wendell Wallach are senior fellows at Carnegie Council for Ethics in International Affairs. In November 2021, they published an article that changed the AI ethics conversation: Why Are We Failing at the Ethics of AI? Six months later, the questions the article raised are no closer to resolution. This article was a don't-hold-your-punches review on the state of AI ethics, with which I am in almost complete agreement. If we want to advance the AI conversation, this is still a good place to start. I've quoted a portion of their article, with my comments interspersed: While it is clear that AI systems offer opportunities across various areas of life, what amounts to a responsible perspective on their ethics and governance is yet to be realized.


Apocalypse now? What quantum computing can learn from AI

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A few years ago, many people imagined a world run by robots. The promises and challenges associated with artificial intelligence (AI) were widely discussed as this technology moved out of the labs and into the mainstream. Many of these predictions seemed contradictory. Robots were mooted to steal our jobs, but also create millions of new ones. As more applications were rolled out, AI hit the headlines for all the right (and wrong) reasons, promising everything from revolutionizing the healthcare sector to making light of the weight of data now created in our digitized world.


AI Ethics in Action: Making the Black Box Transparent - DATAVERSITY

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In my third article about the ethics of artificial intelligence (AI), I look at operationalizing AI ethics. Human intelligence remains a key factor – to keep a watchful eye on potential biases. Amazon caused a stir in late 2018 with media reports that it had abandoned an AI-powered recruitment tool because it was biased against women. Conceived as a piece of in-house software that could sift through hundreds of CVs at lightspeed and accurately identify the best candidates for any open position, the application had acquired one bad habit: It had come to favor men over women for software developer jobs and other technical roles. It had learned from past data that more men applied for and held these positions, and it now misread male dominance in tech as a reflection of their superiority, not social imbalances.


The Development of AI: Balancing Convenience and Ethics

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Technology has improved our lives in countless different ways. Today, we have more time than ever (even if it doesn't feel that way!) to pursue activities we enjoy, thanks to automation. Throughout the course of history, technology has made essential work easier, freeing up more and more time for people to create, socialize, and relax. Artificial intelligence (AI) has played a pivotal role in pushing automation forward in recent years. As the technology has advanced, it's made its way into nearly every industry, from marketing to healthcare.


Establishing AI governance in a business

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Getting data to power AI models is easy. Using that data responsibly is a lot harder. That's why enterprises need to implement a framework for AI governance. "With great data comes great responsibility," said Monark Vyas, managing director of applied intelligence strategy at Accenture, alluding to the proverb made popular by comic book hero Spider-Man. Speaking during a panel at the AI Summit Silicon Valley conference, Vyas noted just how easy it is for companies to mishandle data.


The nuanced debate over AI ethics

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"You won't see many people with my background talking about ethics," said Beena Ammanath, executive director of the Global Deloitte AI Institute and head of Trustworthy AI and Ethical Tech at the global consulting company. A computer scientist who worked as a database and SQL developer and held data science- and AI-related technology roles at Bank of America, GE and Hewlett Packard before joining Deloitte in 2019, Ammanath wasn't always gung-ho to talk AI ethics. Then she decided to write a book about it. "There has arguably never been a more exciting time in AI," she wrote in her book "Trustworthy AI." "Alongside the arrival of so much promise and potential, however, the attention placed on AI ethics has been relatively slight." Protocol spoke with Ammanath about why ethical AI practices should be part of every employee's training, the limitations of providing internal guidance inside a sprawling consultancy and why she finally gave in and joined the AI ethics conversation.


Top Ethical Challenges in AI; The Price of Progress Due to AI - SG Analytics

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In today's digital era, artificial intelligence (AI) and machine learning (ML) are everywhere - from facial recognition to algorithms pandemic outbreak mitigation and healthcare. What AI does is automate the judgments as --yes, no; right, wrong. Today, AI is becoming ubiquitous, in and out of the workplace. With artificial intelligence (AI) becoming more powerful, the questions that surround AI ethics are becoming more relevant. But can technology be controlled to avoid adverse outcomes?


Top Ethical Challenges in AI – The Price of Progress - SG Analytics

#artificialintelligence

In today’s digital era, artificial intelligence (AI) and machine learning (ML) are everywhere – from facial recognition to algorithms pandemic outbreak mitigation and healthcare.   What AI does is automate the judgments as —yes, no; right, wrong.  But are these technologies, that can mirror human intelligence, built in consensus with human ethics?   Can we create new..


10 Effective Leadership Skills You Need in the Age of AI

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Artificial Intelligence (AI) and Automation are about to disrupt every industry and change the way we work forever. While decision makers in the past spent a significant amount of time on administrative tasks such as coordinating, scheduling, and making short-term data driven decisions, AI will soon be able to take over these and other complex tasks. Managers and leaders will now have to understand the technical role of AI and fill in the gaps in areas it is a long way from developing, interpersonal and soft skills. As automation takes over decision making on a daily basis, the next generation of managers with AI Leadership skills will have to take up higher level responsibilities involving the human aspects of decision making such as innovative thinking, employee development, and bridging the gap between technology and people. It also means that business leaders have much to gain with the advent of AI as found by an Infosys study.