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On February 11, 2019, US President Donald trump signed an executive order on maintaining us ai leadership.In the same month, a Protivity survey of ai and machine learning showed that only 16 percent of the business leaders surveyed said they had received a lot of value from advanced ai.The survey also found that companies of all sizes across a variety of industries are investing heavily in ai, with an average spending of $36 million in 2018.
Of the companies surveyed, 10 percent said they plan to increase their budgets in the next two years.The survey also found that companies in the asia-pacific region are adopting advanced ai faster than in other parts of the world.In 2018, 22 percent of businesses in the asia-pacific region are in advanced machine learning, compared with 11 percent in North America and 7 percent in Europe.
On March 4, 2019, the United Nations educational, scientific and cultural organization held a conference about making core principles of artificial intelligence, focus on the more humane methods of artificial intelligence, the goal is to promote the public sector and private sector, civil society, technology, media and academia, dialogue between international and regional organizations, discussion on how much we should allow the machine to make decisions for us.As a social group, we humans write values and priorities into the algorithms of our machines.
Audrey Azoulay, director-general of UNESCO, said in a statement that ai is the new frontier for humanity.
"The guiding principle of ai is not to be autonomous or to replace human intelligence, but we have to make sure that ai evolves in a humanitarian way," Azoulay said.
Ajay Bhalla, President of Mastercard's network and intelligence solutions, said ai is now affecting most industries.
"Artificial intelligence will affect every sector of the economy in the next few years.Ai will increase the value and speed of large-scale data trading, interaction and decision making, "" Bhalla said.
"" so ai is critical to the future of business - building systems through ai, which is critical to staying competitive." "
"Agrees Younus Al Nasser, CEO of dubai data and assistant director of smart dubai.
"Ai has become a field of its own and an increasingly automated part of our lives," he said. "there will only be more breakthroughs and services in ai in the future, which requires us to set principles to regulate and guide this field."
"That said, the field of AI is not mature enough to be governed by laws, so we have developed an Ethical AI Toolkit that sets clear guidelines for the Ethical use of AI and prevents fragmented, incoherent Ethical approaches.On the moral side, there are rules."" we hope that this toolkit will become a generic framework to identify ethical requirements for ai design and use, provide reasonable solutions to help stakeholders comply with ethical principles, and ultimately serve as a blueprint for the government to develop pragmatic ai laws and regulations." "
In terms of credibility, mastercard's Bhalla says there is a lot of talk about credibility in technology today, whether it's the use of consumer data, privacy or the development of new platforms and technologies in the sharing economy.
"Because money is so important, the payments and financial services industry has always been at the forefront of building safer systems," says Bhalla."There is a growing recognition that ethics involves more than just regulation and compliance, and that the focus has shifted from 'we are compliant' to 'we did the right thing.'"
"Ethical considerations reflect competitive differentiation, which is the principle we need to follow.We design for privacy, we design for security -- this is a value proposition based on credibility."" if we're thinking about adopting ai, we need to think deeply about how we're going to adopt ai technology, how we're going to create standards to define where we're going to use ai, when we're going to use it, and what it can read." "
Rajan Sethuraman, chief executive of LatentView AnalyTIcs, argues that the ethics of artificial intelligence is a broad topic because it often involves applying cultural norms and guidelines to an almost endless range of theoretical applications.
"When using artificial intelligence to automate repetitive tasks, the ethical considerations may not be so deep," Sethuraman says.But the more we train machines in the hope that they will eventually imitate us and incorporate basic human emotions like judgment, compassion and fairness into ai technologies, the more we will confront the same ethical issues that exist in human interactions.
The "right" to perceive automation is a theme we see repeatedly in science fiction movies - although we're not at the level of HAL 9000 yet - but as we develop increasingly advanced and unpredictable ai, we have to think deeply about ethics, Sethuraman adds.
According to Shekhar Vemuri, chief technology officer of Clairvoyant, the ethics of artificial intelligence are like two sides of a coin.
"Whether it's a large technology company or a small startup, anyone developing ai technology needs to ask themselves if they have the right to use whatever data they have to support ai," Vemuri said.If not, then everything that follows could be morally wrong.
"The other aspect is transparency.Many companies focus only on how powerful and scalable their ai is.This is important, but ai is a bit like the government - or the party to which people hand over power - must have transparency to check its power and capabilities.Is the machine working correctly?More importantly -- is the process open for inspection if it is not correct (e.g., there is bias in the bank loan or hiring process)?Can defects be found by means of an inspection algorithm?Or is it a black box?
Vemuri believes that failure to address these privacy and transparency issues, as well as others, will face a backlash that could mean a regulatory halt to the adoption of artificial intelligence.
"As ai practitioners, our social and moral responsibility is to ensure that our human biases are not amplified in the solutions we construct -- if they exist and scale -- and that there is a transparent process to root them out and address them," Vemuri added.
But Bhalla believes AI can play an important role in fighting fraud that affects consumers.
"Over the past decade, mastercard has invested in artificial intelligence technology, and ai is really valuable in fighting fraud, especially money laundering."" our ai fraud prevention and decision making platform handles 7 billion transactions per year, which enabled us to prevent $50 billion worth of fraud last year.
Mastercard acquired artificial intelligence specialist Brighterion in 2017.This, says Bhalla, allows mastercard to push the limits of testing to the level of prediction.
"There is no part of our business that is not using ai, from loyalty and reward schemes, to fraud prevention and user experience, to new channels.In the future, the combination of artificial intelligence and biological identification technology will be an important way to transfer the intelligent identification in the physical world to the digital field."" online testers and their equipment are a major challenge that we are currently addressing.
Back to the ethics of artificial intelligence."The ethics of artificial intelligence must increasingly consider potential outcomes and involve humans in the input and design process as much as possible," Sethuraman says.This is something akin to human intelligence -- or perfecting humans through machines, perfecting machines through humans -- and in fact, this is how most artificial intelligence will evolve in the future.
