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The future of AI depends on who’s at the table

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A new report from Canada’s Brookfield Institute for Innovation and Entrepreneurship about AI’s implications for policy makers found that, to be successful in implementing AI in government, a diversity in conversation must happen.

Conversations about AI aren’t just limited to government, or to Canada. Countries all over the world are tossing their hats in the ring to figure out how to best, and most seamlessly integrate AI into the public realm.

The report, “The AI Shift: Implications for policymakers”, outlines that there’s a need for what Brookfield calls ”deliberate conversation” and that it needs to happen “amongst policymakers, technologists, social scientists and broader communities that will be impacted by a shift toward a prediction-centred society.”

The institute also observed that a further exploration of what will happen when AI is used in government, and a closer look at the decision-making process behind such AI, is needed.

Deliberate conversation

Imogen Parker, the head of justice, rights and digital society for the Nuffield Foundation, a charitable trust that funds research and student programming in the UK, outlined in her piece for TechUK what is meant by “deliberate conversation.”

Parker writers that, as the UK has announced that they want to be a leading force in ethics for technology and data use, they need to have a “diversity of voices” looking into risks and potential outcomes of the use and employment of AI in the public sphere.

Brookfield has released a briefer on AI and the basic terminology associated, it includes a helpful section that explains the ethical implications.

“Due to the increasing reliance on and trust in automated systems in contexts that may require them to make moral decisions,” reads the document. “Users should consider whether the values embedded in the code reflect their own.”

 

Giving values

The idea of a value set in a machine not reflecting a person’s values — or reflecting, depending on who the person is — is a topic of ongoing discussion. At UC Berkeley, professor Anca Dragan is working on developing algorithms for human-robot interaction to ensure that conflicts between humans and robots are avoided by teaching robots to express their intentions and capabilities. Research like hers is crucial to the ongoing and ever-evolving field of AI because there have already been conflicts between humans and AI, like the self-driving car that killed a woman in Arizona.

 

The conversation around AI will determine the future we build with it. And if the report from Brookfield is correct, more deliberate discussion needs to happen — and soon.

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Looking to the cloud for digital transformation success

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A recent report from Infosys Knowledge Institute identifies the cloud as the “true key” to successful digital transformation (DX).

Surveying 853 senior executives, representing firms from 12 industries across the US, Europe, Australia, and New Zealand, the IKI’s global market research report on the current cloud application landscape — titled Behind the scenes of an intelligent enterprise: moving enterprise applications to the cloud — found that more than half (54%) said that cloud applications are the foundation of their DX.

According to Infosys Knowledge Institute’s press release, the report “highlights drivers and objectives for enterprises to adopt cloud applications, their methods and extent of adoption, along with implementation approaches, strategy and pain points.”

Additional key findings in the report include:

1.) 75% of enterprises have either deployed cloud applications or are in the process of deploying one with high-tech and telecom industries leading in the space.

2.) Nearly 40% of enterprises are looking at standardization of enterprise cloud applications stack versus best-of-breed solutions.

3.) The top four drivers for moving enterprise applications to cloud are:

  • Data security (55%)
  • Increased resilience and availability (51%)
  • Reduced capital costs (49%)
  • Enhanced scalability (47%)

“As digital disruption impacts incumbents across industries, the responsiveness of their operating models is what differentiates the best from the rest,” explains Dinesh Rao, Executive Vice President and Global Head of Enterprise Application Services for Infosys. 

“However, enterprises face many challenges as they navigate the path towards being more sentient, ‘live’ enterprises – including choosing the right cloud approach, technology investments to repurpose and keeping up with data security. We believe the insights from this research can help enterprises with legacy landscapes to accelerate their digital journeys.”

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United Nations Development Programme looks to digital transformation to drive global development

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It’s a “first of its kind” for the United Nations system, but the UN Development Programme’s new digital strategy is looking to “leverage digital tools as drivers of development” as they work toward the organization’s Sustainable Development Goals, explains Senior Reporter Catherine Chaney, who took a closer look at the UNDP’s digital transformation for Devex.

As UNDP Administrator Achim Steiner explained, “we’re trying to make that which UNDP can offer to a country highly relevant. In other words, we have to become ourselves digitally literate and understand how development and this digital future intersect.” 

Steiner hopes the digital strategy, which launched in April 2019, will allow the UNDP to be in a better position to support programs like the flagship program of the Digital Bangladesh agenda. This initiative, in which the UNDP was a key partner, has allowed citizens to use digital access points for more than 150 services within 4 kilometers of where they live, whereas in the past, citizens were required to travel for days to access government services or documents like birth registration, land records, or life insurance.

The result? Bangladeshi citizens saved nearly 2 nearly billion days of time, more than $8 billion in costs, and more than 1 billion visits to government offices.

In developing the digital strategy, Steiner looked inward, at the organization itself: “Digital was a very abstract concept at the country level, where 95% of UNDP’s staff work across the world,” he said.

In one case, head of UNDP’s economic development unit in Ecuador Carlo Ruiz had tried numerous innovations, but scaling proved difficult. “It was not until he saw a call from the office of the administrator asking country offices to put forward proposals that he pitched his idea to headquarters,” Chaney writes.

Ruiz is now working on a project that uses blockchain technology for traceability — for example, of chocolate bars, their first use case. 

“He hopes this project will demonstrate to the private sector how blockchain technology for traceability can be leveraged for social outcomes and financial returns across many products and markets,” reports Chaney.

Also on the horizon for UNDP? Looking at how the digital era might bring new forms of financing — specifically, trying to strike a balance between short-term, on-demand consulting instead of long- term, project-based work.

“A centralized approach often fails because they don’t involve people from the beginning or the demand isn’t there,” said Robert Opp, who joined UNDP as chief digital officer in August 2019. “The “let a thousand flowers bloom” approach leads to fragmentation and duplication of resources,” Opp continued.

Recognizing the importance of people to digital transformation, the organization has started identifying “digital champions” within its ranks, creating a course staff can take, providing an organization-wide webinar on digital strategy, and supporting “digital lighthouse initiatives” — projects that show how tech can have a strong impact on their work. 

“We’re either going digital or we are going out of business,” Opp said. “The world is changing, the needs of our partners are changing, so if we’re going to serve them well and achieve the SDGs, we need to change as well.”

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Data-rich industries stand to thrive in the digital transformation age

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Automation. AI. Machine Learning. It’s all here, but which data-rich industries will thrive in the 24/7 connectivity of the digital transformation age? 

It’s a question asked by Einaras von Gravrock, CEO of CUJO AI, for Forbes.

He has outlined three areas that stand to gain from our data-rich future:

Internet of Things Security 

It might take years until we can see if the IoT “has fulfilled our expectations,” von Gravrock explains, but we’ve already moved from IoT to Internet of Everything, with hyper-connectivity between, well, everything — especially with respect to businesses and manufacturing and industry. An increase in IoT-related data breaches — 15% to 21% since 2017 has shown that we need to set our sights on higher standards. 

“Data science and AI will shape the next stage of IoT development,” theorizes van Gavrock. The sheer volume of data gathered from IoT means that users must be able to trust this connectivity. Anyone who can provide trustworthy, effective, and inexpensive coverage will win.

[More on the IoT and digital transformation]

Network Service and Telecommunications

Telecommunications companies have become like utility companies in the last 15 years, he explains. “You expect to receive clean, drinkable water from your water supply provider. You would also expect your network operator to provide a secure and private connection.”

This is especially important given the staggering amounts of data accessible by this industry.

“This shift can’t happen if the data generated by users isn’t anonymized, crunched, and analyzed by AI algorithms to ensure malicious connections are blocked before they can do harm to the end user.”

[More on telecom and digital transformation]

Creative Industries

Entire industries are about to radically change the way they work, he writes: “The future of work has an emphasis on constant learning, and AI will be there to help you, both as a teacher and as a tool.” 

Also empowering professionals to focus on bringing more value to their work? Automation — something already being noticed in the manufacturing sector. “Instead of heavy lifting, humans focus on managing AI-driven systems that power robotic forklifts.”

But within creative and social industries, for example, music is already being produced and eSports games are being won AI. von Gavrock uses a sports journalist to demonstrate the potential of AI and automation: Articles they write focus on hard facts and what happened. Automation could, in turn, “switch your focus to moderating discussions or exploring new mediums for creating content instead of trying to find a creative way to describe a game.”

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