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Social & Ethical Issues

Australians have low trust in artificial intelligence and want it to be better regulated


Every day we are likely to interact with some form of artificial intelligence (AI). It works behind the scenes in everything from social media and traffic navigation apps to product recommendations and virtual assistants. AI systems can perform tasks or make predictions, recommendations or decisions that would usually require human intelligence. Their objectives are set by humans but the systems act without explicit human instructions. As AI plays a greater role in our lives both at work and at home, questions arise.

Harnessing AI To Reset The Future: How To Channel AI For Social Good?


This article is co-authored with Jonathan Wong, Chief of Technology & Innovation, United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP). Electronic medical records are examined by a doctor, a demonstration of remote medicine. As the Fourth Industrial Revolution evolves, frontier technologies such as artificial intelligence (AI) are reshaping our economies, societies and the environment. AI is opening up economic opportunities with companies large and small empowered to grow their businesses. From a social perspective, AI provides a host of benefits.

Radical AI podcast: featuring Liz O'Sullivan


Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Liz O'Sullivan about the state of surveillance in the world today. What should you know about the state of surveillance in the world today? What can we do as consumers to stop unintentionally contributing to surveillance? The facial recognition industry had a reckoning after the murder of George Floyd – are things getting better?

The Impact of Artificial Intelligence on Education


Of all the areas of life where artificial intelligence will have an impact, the biggest might well be education. This is because learning is so important, and also because current provision often leaves a lot to be desired. This is not generally the fault of teachers. They are the active ingredient in today's education system, but they are expensive, and not scalable. In most countries they are under-valued, and burdened by absurd paperwork.

The state of Artificial Intelligence (AI) ethics: 14 interesting statistics


In the wake of the COVID-19 pandemic, there has been a rapid increase in the deployment of artificial intelligence (AI) systems due to an increased need for automation, advanced analytics, and remote work. In fact, machine learning and other forms of AI are being applied to address the increasing scale of the pandemic itself. Now, say experts, is a good time to step back and consider the ethics of these (and all) AI applications. "These past few months have been especially challenging, and the deployment of technology in ways hitherto untested at an unrivaled pace has left the internet and technology watchers aghast," Abhishek Gupta, founder of the Montreal AI Ethics Institute, said in the introduction to that organization's inaugural State of AI Ethics report this June. "It has never been more important that we keep a sharp eye out on the development of this field and how it is shaping our society and interactions with each other."

With trust in AI, manufacturers can build better

MIT Technology Review

Stefan Jockusch is not one of them. Vice president of strategy at Siemens Digital Industries Software, Jockusch says trusting an algorithm that powers an AI application is a matter of statistics. This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "If it works right, and if you have enough compute power, then the AI application will give you the right answer in an overwhelming percentage of cases," says Jockusch, whose business is building "digital twin" software of physical products. He gives the example of Apple's iPhones and its facial recognition software--technology that has been tested "millions and millions of times" and produced just a few failures. "That's where the trust comes from," says Jockusch. In this episode of Business Lab, Jockusch discusses how AI can be used in manufacturing to build better products: by doing the tedious work engineers have traditionally done themselves.

Australians have little trust in Artificial intelligence, new study shows


A new study has shown that Australians are generally unwilling to sign off on wide-spread use of Artificial intelligence (AI), with less than a quarter of those surveyed approving of the growing technology. The study, conducted by the University of Queensland in partnership with KPMG, shows while 42 per cent generally accept it only 16 per cent approve of AI. More than half of Australians know little about AI and many are unaware that it is being used in everyday applications, like social media. "The benefits and promise of AI for society and business are undeniable," said Professor Nicole Gillespie, KPMG Chair in Organisational Trust and Professor of Management at the University of Queensland Business School. "AI helps people make better predictions and informed decisions, it enables innovation, and can deliver productivity gains, improve efficiency, and drive lower costs. Through such measures as AI-driven fraud detection, it is helping protect physical and financial security – and facilitating the current global fight against COVID-19."

Why Your Board Needs a Plan for AI Oversight


We can safely defer the discussion about whether artificial intelligence will eventually take over board functions. We cannot, however, defer the discussion about how boards will oversee AI -- a discussion that's relevant whether organizations are developing AI systems or buying AI-powered software. With the technology in increasingly widespread use, it's time for every board to develop a proactive approach for overseeing how AI operates within the context of an organization's overall mission and risk management. According to McKinsey's 2019 global AI survey, although AI adoption is increasing rapidly, overseeing and mitigating its risks remain unresolved and urgent tasks: Just 41% of respondents said that their organizations "comprehensively identify and prioritize" the risks associated with AI deployment. Get monthly email updates on how artificial intelligence and big data are affecting the development and execution of strategy in organizations.

Deloitte Survey: The Impact of Artificial Intelligence (AI) on Health Care


While the pandemic has put a spotlight on the need for digital technologies such as artificial intelligence (AI), health care organizations were already experiencing some of their benefits prior to the crisis. "Deloitte's 2020 State of AI in the Enterprise Study, 3rd Edition" by the Deloitte AI Institute and Center for Technology, Media and Telecommunications uncovered how organizations are adopting, benefiting from, and managing AI technologies by industry, including health care. While the "State of AI in the Enterprise" survey was conducted before COVID-19 significantly impacted the U.S., its findings are ever more relevant as health care companies look to reduce costs, increase product development and better engage with consumers in the "Age of With," a world where humans work alongside machines to enable greater outcomes. The "Smart use of artificial intelligence in health care" report, launched today, summarizes key findings from that survey, and offers recommendations for how health care enterprises can gain immediate returns on investment and experience a competitive advantage over the longer term. Surveyed leaders agreed that health care organizations are investing, but the investments vary widely.

Digitization, Digital Transformations and Humans in the Loop Workflows


This article will take you through what digital transformations are, what drives it, how to aid successful digital transformations, how AI and deep learning can help, the challenges you might face in implementation and how to work around them. We will also talk about what the current pace of technological growth means for the future of work and what we can do about the paranoia that goes along with increasing automation. While talking about singularity or Skynet taking over is not the point of this blog, it would be a little apathetic to not acknowledge the risks that come with acceleration in technological advancement. Have a data extraction problem in mind? Head over to Nanonets and start building models for free!