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Future Says... Ethical AI

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"AI is an instrument just like anything else. You can do harm and you can do wonderful things. ESG is the embodiment of all the good things you can do with AI. Squeeze all the juice out of AI but at the same time we need to understand the consequences so we can do things responsibly!" The wise words from Aiko Yamashita, Senior Data Scientist at the Advanced Analytics Centre of Excellence in DNB Bank, during our conversation on Altair's'Future Says'.


What AI Experts Fear From AI - AI Summary

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Titled "Investing in trustworthy AI," the 82-page report from Deloitte and the Chamber Technology Engagement Center sought to identify the concerns that technology experts have when it comes to the adoption of AI, as well as highlight the impact that government investment in AI can have on the emerging technology. For instance, the survey found that 66% of respondents indicated that "the government could mitigate unwanted biases" and found 69% suggested that "the government could encourage accountability for AI decisions." Two-thirds of survey-takers want the government to reduce the impact of job loss due to AI, while 72% said the government could "mitigate acceleration of social divides between workers with and without AI skills." "Broadly, respondents overwhelmingly supported the notion that government intervention could enhance the benefits of AI and thus contribute to increased AI trustworthiness," the report states. One-quarter of patents granted by the United States Patent and Trademark Office use AI technologies in some shape or form, reports Deloitte, which claims that the economic impact of AI will be somewhere between $447 billion and $1.43 trillion over the next five years.


It's time to change the debate around AI ethics. Here's how

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This article is brought to you thanks to the collaboration of The European Sting with the World Economic Forum. The current conversation around AI, ethics and the benefits for our global community is a heated one. The combination of high stakes and a complex, rapidly-adopted technology has created a very real state of urgency and intensity around this discussion. Promoters of the technology love to position AI as a welcome disruptor that could bring about a global revolution. It's all too easy to get caught up in the hype and create a situation whereby the world does not fully benefit from the development of AI technology.


What AI Experts Fear from AI

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These are some of the outcomes that AI developers fear will come from their work, according to a new report issued today by the Deloitte AI Institute and the U.S. Chamber of Commerce. Titled "Investing in trustworthy AI," the 82-page report from Deloitte and the Chamber Technology Engagement Center sought to identify the concerns that technology experts have when it comes to the adoption of AI, as well as highlight the impact that government investment in AI can have on the emerging technology. Algorithmic bias and a lack of humans in decision loops are concerns for about two-thirds of the 250 people who participated in the survey. Another 60% identified "rogue or unanticipated behavior" of autonomous agents as a threat, while 56% said the lack of explainability of algorithms was a concern. "Perceived, and actual, discrimination by AI systems undermines the confidence individuals have in whether they are being given a fair opportunity when AI is involved," the report stated.


The importance of having accountability in AI ethics

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AI ethics expert Joanna J Bryson spoke to Siliconrepublic.com about the challenges of regulating AI and why more work needs to be done. As AI becomes a bigger part of society, the ethics around the technology require more discussion, with everything from privacy and discrimination to human safety needing consideration. There have been several examples in recent years highlighting ethical problems with AI, including an MIT image library to train AI that contained racist and misogynistic terms and the controversial credit score system in China. In recent years, the EU has made conscious steps towards addressing some of these issues, laying the groundwork for proper regulation for the technology. Its most recent proposals revealed plans to classify different AI applications depending on their risks.


Towards a Responsible and Ethical AI

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Responsible AI, Ethical AI, AI for social good -- I am sure you must have heard these terms at some point or the other, whether you are a Data Scientist or not. "The development of full artificial intelligence could spell the end of the human race." And there my journey of understanding this critical aspect of the AI foundation started. I used to wonder how to relate ethics with AI which is just a series of algorithms, when, in fact, we have not been able to apply ethical behavior among ourselves. As per the AI index report published by the Stanford University Institute for Human-Centered AI, cybersecurity and regulatory compliance are among the top risks identified by AI/ML-oriented organizations.


The World of Reality, Causality and Real Artificial Intelligence: Exposing the Great Unknown Unknowns

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"All men by nature desire to know." - Aristotle "He who does not know what the world is does not know where he is." - Marcus Aurelius "If I have seen further, it is by standing on the shoulders of giants." "The universe is a giant causal machine. The world is "at the bottom" governed by causal algorithms. Our bodies are causal machines. Our brains and minds are causal AI computers". The 3 biggest unknown unknowns are described and analyzed in terms of human intelligence and machine intelligence. A deep understanding of reality and its causality is to revolutionize the world, its science and technology, AI machines including. The content is the intro of Real AI Project Confidential Report: How to Engineer Man-Machine Superintelligence 2025: AI for Everything and Everyone (AI4EE). It is all a power set of {known, unknown; known unknown}, known knowns, known unknowns, unknown knowns, and unknown unknowns, like as the material universe's material parts: about 4.6% of baryonic matter, about 26.8% of dark matter, and about 68.3% of dark energy. There are a big number of sciences, all sorts and kinds, hard sciences and soft sciences. But what we are still missing is the science of all sciences, the Science of the World as a Whole, thus making it the biggest unknown unknowns. It is what man/AI does not know what it does not know, neither understand, nor aware of its scope and scale, sense and extent. "the universe consists of objects having various qualities and standing in various relationships" (Whitehead, Russell), "the world is the totality of states of affairs" (D. "World of physical objects and events, including, in particular, biological beings; World of mental objects and events; World of objective contents of thought" (K. How the world is still an unknown unknown one could see from the most popular lexical ontology, WordNet,see supplement. The construct of the world is typically missing its essential meaning, "the world as a whole", the world of reality, the ultimate totality of all worlds, universes, and realities, beings, things, and entities, the unified totalities. The world or reality or being or existence is "all that is, has been and will be". Of which the physical universe and cosmos is a key part, as "the totality of space and times and matter and energy, with all causative fundamental interactions".


7 Ways AI Can Help Grow Your Startup

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Artificial intelligence is the buzzword in business today, much like digital marketing a decade ago. It is taking the business world by storm. With its ability to automate mundane tasks, and drive efficiency, every bit of attention it gets is well-deserved. Yes, the benefits are known to most. However, the question that lingers in the minds of most founders and CEOs is, "Well, how exactly AI is going to benefit our business?" Here, we unravel the mysteries that cloud your mind about AI and its relevance to business.


The Threat of Artificial Intelligence

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The technologies referred to as "artificial intelligence" or "AI" are more momentous than most people realize. Their impact will be at least equal to, and may well exceed, that of electricity, the computer, and the internet. What's more, their impact will be massive and rapid, faster than what the internet has wrought in the past thirty years. Much of it will be wondrous, giving sight to the blind and enabling self-driving vehicles, for example, but AI-engendered technology may also devastate job rolls, enable an all- encompassing surveillance state, and provoke social upheavals yet unforeseen. The time we have to understand this fast-moving technology and establish principles for its governance is very short. The term "AI" was coined by a computer scientist in 1956.


Google, Facebook And Microsoft Are Working On AI Ethics--Here's What Your Company Should Be Doing

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As AI is making its way into more companies, the board and senior executives need to mitigate the risk of their AI-based systems. One area of risk includes the reputational, regulatory and legal risks of AI-led ethical decisions. AI-based systems are often faced with making decisions that were not built into their models--decisions representing ethical dilemmas. For example, suppose a company builds an AI-based system to optimize the number of advertisements we see. In that case, the AI may encourage incendiary content that causes users to get angry and comment and post their own opinions.