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The cryptocurrency market update: Bitcoin bears hit the pause button – FXStreet

The cryptocurrency market is range-bound with bearish bias after a sharp sell-off at the beginning of the week. Bitcoin and all major altcoins are nursing lose from 1$ to 4% on a day-to-day basis with NEO being a notable exception. The coin has gained over 5% since this time on Tuesday.

The total cryptocurrency market capitalization stayed at to $223, mostly unchanged from this time on Tuesday; an average daily trading volume is registered at $77 billion. Bitcoin's market share settled at 66.1%.

BTC/USD tested area below $8,000 on Tuesday. While thee price managed to recover to $8,150 by press time, the market is still controlled by bears. The first digital asset has lost about 1% of its value in recent 24 hours and stayed unchanged since the beginning of the day. Looking technically, the $8,060-$8,000 area creates a strong initial support that may limit the further downside in the short run.

Ethereum, the second-largest digital asset with the current market capitalization of $19.2 billion, has settled above $175.00 after a short-lived sell-off to $172.75 on Tuesday. ETH/USD has over 1% on a day-to-day basis and stayed unchanged since the beginning of Wednesday. At the time of writing, ETH/USD is changing hands at $175.75, while the initial support is created by the middle line of 1-hour Bollinger Band.

Ripples XRP touched $0.2408 on Monday amid global sell-off on the cryptocurrency market, but managed to recover to the area above $0.2500 by the time of writing. XRP/USD, the third digital coin with the current market value of $11.0, has gained 1% of its value since this time on Tuesday. The support is created by psychological $0.2500. At the time of writing, XRP/USD is changing hands at at $0.2515

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The cryptocurrency market update: Bitcoin bears hit the pause button - FXStreet

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This cryptocurrencys price just pumped 7,000%, but why? – Decrypt

While most of the cryptocurrency market is experiencing mild to moderate losses, one obscure cryptocurrency, known as Blockv (VEE) is defying expectations after pumping by more than 7,000% in the last day. The recent surge now makes Blockv the 33rd largest cryptocurrency by market capitalization, just behind Decred (DCR) and Zcash (ZEC).

According to the website, Blockv is a platform that is a platform that allows developers to create digital objects on the blockchain. However, despite launching almost two years ago, the platform failed to gain much momentum, while the VEE token has been on a near-constant decline throughout much of its existence.

Be the first to get Decrypt Members. A new type of account built on blockchain.

So, how did this pump come out of nowhere? Well, it currently appears that almost 100% of its minor $240,000 in daily trade volume can be attributed to a single South Korean exchange known as ChainX. The VEE/KRW trade pair on this exchange recently saw a colossal spike in activity. When volume suddenly spikes on a coin with a very low trading volume, it can send the price rocketingas we've seen before. So that was likely the cause.

This isn't the first time Blockv has witnessed such a meteoric surge. Back in December 2017, shortly following its token generation event (TGE), the cryptocurrency managed to climb from around $0.018 up to $0.326equivalent to gaining more than 1,700% in just five weeks. But it was short lived. Since then it lost 99.5% of its value.

And, with such low volumes this time around, the coin will find it hard to stay in the top 40.

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This cryptocurrencys price just pumped 7,000%, but why? - Decrypt

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Swedish gold-for-cryptocurrency scammer finally extradited to US – The Next Web

A Swedish citizen has been extradited from Thailand to the US. The Swede is facing charges of securities fraud, wire fraud, and money laundering based on a heinous cryptocurrency investment con hes run since 2006.

According to a US Department of Justice release, Roger Nils-Jonas Karlsson was extradited yesterday after being arrested in Thailand in June this year.

As Hard Fork has previously reported, Karlsson and his company, Eastern Metal Securities (EMS), were charged earlier this year following a complaint that claimed he had been running a gold-based investment scam.

Karlsson reportedly used a website to invite potential investors to buy shares in exchange for an eventual payout of in gold. However, the funds were never used to buy gold. Rather, they are tied up in real estate in Thailand, and not returned in any way to the investors.

The accused reportedly offered investments in shares of gold for $98 per share. Karlsson said each share would lead to a payout of 1.15 kilograms of gold. Thats insane, when you consider that the same weight in gold would cost you over $47,000 in the US at the time of writing.

The scammy website used by Karlsson directed investors to make investments in cryptocurrencies, such as Bitcoin.

According to the DoJ statement, Karlsson allegedly defrauded more than 3,750 victims of over $11 million.

It should also be noted that this indictment and extradition is to have Karlsson present in court to defend these allegations. He is yet to be found guilty of the above.

Published November 19, 2019 09:36 UTC

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Swedish gold-for-cryptocurrency scammer finally extradited to US - The Next Web

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Binance US Adds Nano (NANO) as Its 26th Cryptocurrency – SludgeFeed

Binances American partner exchange, Binance.US, announced Wednesday that it has listed Nano (NANO), a trustless, low-latency cryptocurrency that utilizes a block lattice architecture.

According to the announcement, deposits are now enabled and trading for NANO/USD will begin on November 21 at 9:00 pm EST. Withdrawals will become available when trading starts.

Nano is the 26th cryptocurrency to be supported on the Binance.US platform. This new listing comes a week after the exchange added QTUM(QTUM), a platform for implementing plug-and-play smart contract bridging from Bitcoin and Ethereum.

As we previously reported, the new exchange is off to a fairly strong start, processing $759 million in trades in its first 50 days with a 1-day trading volume high of $32.7 million on October 26. In an effort to boost these numbers further, Binance.US recently announced that it would be offering new users 30 days of fee-free trading.

The exchange also offers a $15 referral bonus for users who complete the fiat verification process. US-based investors who want to help support our publication can get started on the exchange through this link.

Disclaimer: This articles author has cryptocurrency holdings that can betracked here. This article is for informational purposes only and should not be taken as investment advice. Always conduct your own due diligence before making investments.

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Binance US Adds Nano (NANO) as Its 26th Cryptocurrency - SludgeFeed

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Is the IRS HODLing Out on Us? IRS Issues Additional Cryptocurrency Guidance Addressing Hard Forks, Soft Forks, and Airdrops – JD Supra

Updated: May 25, 2018:

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Is the IRS HODLing Out on Us? IRS Issues Additional Cryptocurrency Guidance Addressing Hard Forks, Soft Forks, and Airdrops - JD Supra

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Maksim Zaslavskiy of the cryptocurrency Recoin was sentenced to 18 months in prison for lying to investors – Crain’s New York Business

At one point Paris Hilton and boxer Floyd Mayweather got on the bandwagon touting ICOs.

Maksim Zaslavskiy, a computer programmer from Sheepshead Bay with masters'degrees in finance and law, got into this wild-west of Wall Street two years ago when he launched an ICO forRecoin, which was intended to help him buy real estate. He issued a slew of false and misleading statements about the ICO, which he claimed was backed by property investments in the U.S. and overseas and led by a team of experienced real estate professionals.

Later, he switched to marketing a coin that he described as an exclusive and tokenized membership pool hedged by diamonds. That wasnt true, either.

Still, mania for all things crypto was so intense during the summer of 2017 that about 1,000 investors took the bait and invested at least $300,000 in Zaslavskiys ICOs.

His attorney, Mildred Whalen of the Federal Defenders of New York, argued that Zaslavskiy refunded as much money as he could before PayPal froze his customers accounts over concerns that payments for hisICOs were made with stolen or fraudulent credit cards.

Zaslavskiy became the first person charged criminally with ICO fraud when federal prosecutors brought a case against him in 2017 and he pleaded guilty last year to conspiracy to commit securities fraud. Zaslavkiy is a native of the USSR who immigrated to New York in 1991 with his family when he was 12.

He told federal Judge Raymond Dearie he was sorry for doing things he knew were wrong.

At no point am I a thief, he insisted in Brooklyn federal court Monday morning.

You are a thief, Dearie replied. You took something that didnt belong to you under false pretenses.

Assistant U.S. Attorney Julie Nestor observed that cases like Zaslavskiys are a dime a dozen, so a stiff sentence was necessary to send a message other fraudsters in the crypto-currency world.

Judge Dearie agreed.

This is a very unusual case for a lot of reasons. It involves new technologies and new currencies, he said. But there is nothing new about lying or flagrant fraud.

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Maksim Zaslavskiy of the cryptocurrency Recoin was sentenced to 18 months in prison for lying to investors - Crain's New York Business

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Artificial intelligence warning: Development of AI is comparable to nuclear bomb – Express.co.uk

Theoretically, AI could keep reprogramming and upgrading itself without human interference until it becomes more intelligent than us. At that point, experts warn, it could view humanity as a hinderance and will use its intelligence to replace us at the top. Ultimately, the smarter AI becomes, the easier it will be able to develop itself until its growth massively outpaces humanitys.

One expert believes researchers could lose control of the pace of AI, and compared it to how the nuclear arms race got out of control in the 1930s.

In the 1930s, western scientists began working on the development of the nuclear bomb which was thought would take decades.

However, when World War 2 broke out, both the axis and the allies entered an arms race to develop nuclear arms which massively increased the pace of the project.

The US sealed the end of the war when it dropped two nuclear bombs on the Japanese cities of Hiroshima and Nagasaki on August 6 and 9, 1945.

Bryan Walsh, author of the new book End Times which analyses the threats which could put an end to humanity, believes something similar is happening now with AI.

Mr Walsh told Express.co.uk: The big issues going forward with AI is that we get more powers and the ability to do things that we couldnt do before.

We get ahead of ourselves and we struggle to control that. We saw that with the development of nuclear arms.

Now we are seeing the same. The technology itself is advancing very fast but our ability to control it is lagging behind.

READ MORE:Computer can predict if you will die within the next year

Science pushes forward and often the attempt is to figure out what you can do, rather than just should you do it or what is going to happen if you do it.

Just ask scientists in the 1930s if a nuclear bomb could be created, they thought it would take decades. And just ten years later you have Hiroshima.

These technologies can advance even faster than the practitioners realise and there is no real control system.

Some of the worlds leading experts have previously warned about the rise of AI and how it might impact humanity.

DON'T MISSAI apocalypse: Artificial intelligence will one day be 'weaponised'Elon Musk: SpaceX CEO savaged for fairytale plans to live foreverAI WILL lead to human extinction if one crucial change isnt made

The late Stephen Hawking said: Success in creating effective AI, could be the biggest event in the history of our civilisation. Or the worst. We just dont know.

So we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it.

Unless we learn how to prepare for, and avoid, the potential risks, AI could be the worst event in the history of our civilisation.

It brings dangers, like powerful autonomous weapons, or new ways for the few to oppress the many. It could bring great disruption to our economy.

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Artificial intelligence warning: Development of AI is comparable to nuclear bomb - Express.co.uk

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Global Military Artificial Intelligence (AI) and Cybernetics Market Report, 2019-2024: Focus on Platforms, Technologies, Applications and Services -…

DUBLIN--(BUSINESS WIRE)--The "Global Military Artificial Intelligence (AI) and Cybernetics Market: Focus on Platform, Technology, Application and Services - Analysis and Forecast, 2019-2024" report has been added to ResearchAndMarkets.com's offering.

This report projects the market to grow at a significant CAGR of 18.66% on the basis of value during the forecast period from 2019 to 2024.

North America dominated the global military artificial intelligence market with a share of 48.23% in 2019. North America, including the major countries such as the U.S., is the most prominent region for the military artificial intelligence market. In North America, the U.S. acquired a major market share in 2019 due to the major deployment of countermeasures in the defense sector in the country.

The global military artificial intelligence market has gained widespread importance owing to the rising adoption of artificial intelligence for the military operation. However, the lack of standard professional for the use of AI-integrated equipment and the rising cyber threat for military data are some of the factors that are restraining the market growth.

Expert Quote

The rising demand for artificial intelligence for various military equipment across the different platforms is forcing the artificial intelligence solution provider to develop the products with more advanced technologies. Moreover, the increasing need for situational awareness and growing demand for cloud services in the military around the world are expected to drive the market.

Scope of the Market

The market research provides detailed market information for segmentation on the basis of application, platform, technology, service, and region. The purpose of this market analysis is to examine the artificial intelligence and cybernetics market outlook in terms of factors driving the market, trends, technological developments, and competitive benchmarking, among others.

The report further takes into consideration the market dynamics and the competitive landscape along with the detailed financial and product contribution of the key players operating in the market.

Market Segmentation

The military artificial intelligence market is further segmented into application, platform, technology, service, and region. The naval platform dominated the global military artificial intelligence market in 2018 and is anticipated to maintain its dominance throughout the forecast period (2019-2024).

While highlighting the key driving and restraining forces for this market, the report also provides a detailed study of the industry that has been analyzed. The report also analyzes different application that includes cybersecurity, warfare platform, surveillance, logistics and transportation, autonomous weapons and targeting system, battlefield healthcare, and simulation. In the platform segment, the market is segmented into land, air, naval, and space. In the technology segment, the market is segmented into learning and intelligence, advance computing, and AI system. In the service segment, the market is segmented into hardware, software, and services.

The military artificial intelligence and cybernetics market is segregated by region under four major regions, namely, North America, Europe, APAC, and Rest-of-the-World. Data for each of these regions (by country) is provided.

Key Companies

The key market players in the global military artificial intelligence and cybernetics market include General Dynamics, Lockheed Martin Corporation, Northrop Grumman Corporation, BAE system, Boeing, Blue Bear, Charles River Analytics, IBM, Leidos, Raytheon, SparkCognition, SAIC, Soar Tech and Thales Group.

Key Questions Answered

Key Topics Covered

Executive Summary

1 Market Dynamics

1.1 Drivers

1.1.1 Rising Demand for Artificial Intelligence for Developing Military Equipment

1.1.2 Increasing Need for Situational Awareness in Military

1.1.3 Growing Demand for Cloud Services in Military

1.2 Restraint

1.2.1 Lack of Standard Professional for Operating AI-Integrated Equipment

1.2.2 Rising Cyber Threat for Military Data

1.3 Opportunity

1.3.1 Increasing Adoption of AI for Military Operation

1.3.2 Rising Demand for Next-Generation Battlefield Technologies

2 Competitive Insights

2.1 Key Strategies and Developments

2.1.1 Partnerships, Collaborations, Contracts, and Agreements

2.1.2 Mergers and Acquisitions

2.1.3 Product Launches

2.1.4 Other Developments

2.2 Competitive Benchmarking

3 Industry Analysis

3.1 Industry Overview

3.2 Ongoing Programs of Artificial Intelligence for Defense

3.3 Patent Analysis

3.4 Emerging Technological Trends

3.4.1 Advance Analytics and Big Data

3.4.2 Neural Network

3.5 Artificial Intelligence and Military Integration Challenges

3.5.1 Technology

3.5.2 Process

3.5.3 Personnel

3.5.4 Culture

3.6 Future Trends: Internet of Battlefield Things (IOBT)

4 Global Technological Roadmap for Cybernetics

4.1 Introduction

4.2 Applications of Cybernetics

4.2.1 Human-Machine Interface

4.2.2 Bionic Power (Cyborgs)

4.3 Evolution of Cybernetics

4.4 AI in Cybernetics

4.5 Future of Warfare: Robots, Cyborgs, and Soldiers

5 Global Military Artificial Intelligence (AI) and Cybernetics Market, 2019-2024

5.1 Assumptions and Limitations

5.2 Market Overview

6 Global Military Artificial Intelligence (AI) and Cybernetics Market (by Platform), 2019-2024

6.1 Market Overview

6.2 Land

6.2.1 Armoured Fighting Vehicle

6.2.2 Command & Control System

6.2.3 Unmanned Ground Vehicle

6.2.4 Others

6.3 Naval

6.3.1 Submarine

6.3.2 Unmanned Marine Vehicle

6.3.3 Ships

6.4 Air

6.4.1 Unmanned Aerial Vehicle

6.4.2 Fighter Jets & Aircrafts

6.5 Space

6.5.1 Satellite

6.5.2 Space Launch Vehicle

7 Global Military Artificial Intelligence (AI) and Cybernetics Market (by Technology), 2019-2024

7.1 Market Overview

7.1.1 Learning & Intelligence

7.1.1.1 Natural Language Processing

7.1.1.2 Machine Learning

7.1.1.3 Data Mining

7.1.1.4 Deep Learning

7.1.2 Artificial Intelligence System

7.1.2.1 Computer Vision

7.1.2.2 Virtual Agents

7.1.2.3 Virtual Reality

7.1.3 Advanced Computing

7.1.3.1 Super Computing

7.1.3.2 Quantum Computing

7.1.3.3 Neuromorphic Engineering

8 Global Military Artificial Intelligence (AI) and Cybernetics Market (by Application), 2019-2024

8.1 Market Overview

8.1.1 Surveillance

8.1.2 Warfare Platform

8.1.3 Logistics & Transportation

8.1.4 Autonomous Weapons & Targeting System

8.1.5 Battlefield Health Care

8.1.6 Combat Simulation

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Global Military Artificial Intelligence (AI) and Cybernetics Market Report, 2019-2024: Focus on Platforms, Technologies, Applications and Services -...

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Podcast decodes ethics in artificial intelligence and its relevance to public – Daily Bruin

The Beyond the Turing Test podcast wants to disprove that artificial intelligence will result in a real-life Terminator, all while discussing ethics in technology.

Co-hosted by second-year computer science student Arnav Mathur and third-year linguistics and computer science student Pranav Singh, the podcast launched Nov. 1 and is set to air biweekly. Focused on creating a discourse on the rapidly developing AI integrated into our day-to-day lives, Singh said the podcast aims to start a conversation about AI and ethics with the general public. The pair is looking forward to expanding the scope of who discusses ethics in AI, as it tends to be a very niche topic that is limited to academic circles, Mathur said.

We feel like nothing like this really exists and there is no real way to disseminate this kind of information to people in a consumable manner, Mathur said. A lot of what we see right now is in the form of research papers or journals, so we felt there was a lacking in getting the message out.

[Related: Student paints picture of how science background can strengthen art]

When initially brainstorming the podcast, Singh said they had to consider how conversational or formal they wanted to make it. Academic podcasts require more attention from listeners to fully grasp the concepts, which Singh said presented a challenge as they first began. The pair ended up rerecording its first episode, as Mathur said they chose a conversational style for a more organic discussion that became a stream of consciousness rather than a structured piece. As the podcast is still in its beginning stages, its first iteration may not be perfect, and Singh said they are looking to gauge feedback and continuously improve their format.

Examining ethics alongside AI has been a challenge of presenting the technical information while distilling the topics to a level that anyone can understand, Singh said. As both hosts are computer science-oriented, Mathur said they have to check themselves to make sure they are delving into philosophical ideologies and giving ethics the value it deserves. Their ultimate goal is for listeners who do not have any scientific background to grasp the concepts, Singh said.

We have a twofold approach where we say we need to define the space of artificial intelligence and let people know what it actually is and dispel the myths surrounding it, Singh said. At the same time, we want to start the conversation and get people thinking about ethics in AI. Things need to be created with humans in mind.

The co-hosts goal for the near future is to involve more guest speakers, especially faculty that are leading the industry, Mathur said. Alex Alben, a professor at the UCLA School of Law, serves as a faculty advisor to the larger AI Robotics Ethics Society on campus and is set to be a guest on the podcast. He said the general public is hungry for knowledge and answers about AI, so any form of media that engages this topic will be popular.

Were at a very interesting point in time where AI-related technologies are becoming very rapidly adopted in our society, Alben said. And there is a growing recognition that artificial intelligence is shaping peoples lives in ways that they do understand and also in ways they dont understand.

[Related: Alumna expresses her emotions through digital art on self-made website]

Mathur said they aim to reach people who might not initially consider the topic. In a more macro perspective, they naturally want it to be a staple that people listen to because it is relevant to current social discourse, Mathur said. They are hoping to expand on topics that apply to AIs incorporation into our daily lives. Beyond the Turing Point intends to have something for everyone as it combines creativity and technology, Singh said.

We are part of the only club nationwide devoted to ethics, AI and technology, Singh said. We have the world as our oyster, so we want to take as much advantage of that and grow it as much as we can.

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Podcast decodes ethics in artificial intelligence and its relevance to public - Daily Bruin

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Preparing the Military for a Role on an Artificial Intelligence Battlefield – The National Interest Online

The Defense Innovation Boardan advisory committee of tech executives, scholars, and technologistshas unveiled its list of ethical principles for artificial intelligence (AI). If adopted by the Defense Department, then the recommendations will help shape the Pentagons use of AI in both combat and non-combat systems. The boards principles are an important milestone that should be celebrated, but the real challenge of adoption and implementation is just beginning. For the principles to have an impact, the department will need strong leadership from the Joint AI Center (JAIC), buy-in from senior military leadership and outside groups, and additional technical expertise within the Defense Department.

In its white paper, the board recognizes that the AI field is constantly evolving and that the principles it proposes represent guidelines the department should aim for as it continues to design and field AI-enabled technologies. The board recommends that the Defense Department should aspire to develop and deploy AI systems that are:

1. Responsible. The first principle establishes accountability, putting the onus on the human being for not only the development, deployment, [and] use of an AI system, but most importantly, any outcomes that system produces. The burden rests on the human being, not the AI.

2. Equitable. The second principle calls on the DoD to take deliberate steps to minimize unintended bias in AI systems. The rise of facial recognition technology and the subsequent issues of algorithmic biases show that the board is right to prioritize mitigating potential biases, particularly as the DoD continues to develop AI systems with national security applications.

3. Traceable. The third principle addresses the need for technical expertise within the Defense Department to ensure that AI engineers have an appropriate understanding of the technology and the insight of how a system arrives at its outcome.

4. Reliable. The boards fourth principle essentially says that an AI system should do what it has been programmed to do within the domain it has been programmed to operate in. AI engineers should then conduct tests to ensure the safety, security, and robustness of the system across its entire life cycle.

5. Governable. The fifth principle tackles the need for fail-safes in situations where an AI system acts unexpectedly. The AI system should be able to detect and avoid unintended harm, and mechanisms should exist that allow human or automated disengagement for systems demonstrating unintended escalatory behavior.

These ethical principles are a worthwhile and necessary step in a series of actions the Defense Department has recently taken on AI. The department stood up its Joint AI Center nearly eighteen months ago to act as the central hub for AI deployment across the Department. The department then released its AI strategy this past February, prioritizing the concept of a human-centered adoption of AI.

Now that the board has proposed these ethical principles, it will fall to the JAIC to advocate for their adoption and make them actionable. Adoption and implementation are important because they indicate to the U.S. public and other nations that the U.S. defense community is taking AI ethics and risk mitigation seriously. In the past, international organizations, like the OECD, as well as companies like Microsoft or Google, introduce AI ethical principles or establish ethics boards, without always defining mechanisms for implementation or accountability. The Pentagon has the opportunity to be forward-thinking by not only adopting these principles, but actually establishing mechanisms to abide by them.

Additionally, these principles may relieve some of the concerns that tech employees have voiced about working on Defense Department projects or provide some top cover for tech executives looking to partner with the department on AI-related projects. While these principles will not solve every issue in the relationship between the department and tech community, the adoption of these principles should act as a signal that the Pentagon is serious about embedding safety and mitigating risk in its AI systems.

Assuming the boards principles are adopted, the Defense Department will then have to turn its efforts toward implementation. The Pentagon will need long term leadership, buy-in from department leadership and outside groups, and increased technical expertise to apply these principles moving forward. The leadership of the JAIC will be instrumental in encouraging the Departments many components to incorporate this guidance into the design and deployment of their AI systems. In addition to the JAICs leadership, the principles will need long term support from the highest levels of the Pentagon, regardless of the current Secretary of Defense.

The Defense Department should also seek support and buy-in from outside groups, including private sector partners and AI researchers in the tech community. The board engaged numerous voices from the private sector, academia, and AI research community as they developed these principles. As the department begins to formulate policies for implementation, it should collaborate with AI technologists that are at the forefront of research on safety, risk, and unintended consequences in AI.

Finally, the department will need additional technical expertise to successfully execute these principles. The Pentagon should follow the boards recommendation and develop a strategy for both recruiting additional AI engineers and creating programs to train existing department personnel in AI-related skills and knowledge.

The board has accomplished its task, and it is now up to the Defense Department to undertake the challenge of adoption and implementation. The road ahead will certainly have its hurdles, but with the right support and expertise, the Pentagon could emerge as a leader and a model for how to ensure ethics are embedded into AI systems. And in an AI field with a lot of uncertainty, this would be a major victory.

Megan Lamberth is a research assistant for the Technology and National Security program at the Center for a New American Security.

Image: Reuters

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Preparing the Military for a Role on an Artificial Intelligence Battlefield - The National Interest Online

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