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Web3 tech helps instil confidence and trust in AI

The promise of AI is that it’ll make all of our lives easier. And with great convenience comes the potential for serious profit. The United Nations thinks AI could be a $4.8 trillion global market by 2033 – about as big as the German economy.
But forget about 2033: in the here and now, AI is already fueling transformation in industries as diverse as financial services, manufacturing, healthcare, marketing, agriculture, and e-commerce. Whether it’s autonomous algorithmic ‘agents’ managing your investment portfolio or AI diagnostics systems detecting diseases early, AI is fundamentally changing how we live and work.
But cynicism is snowballing around AI – we’ve seen Terminator 2 enough times to be extremely wary. The question worth asking, then, is how do we ensure trust as AI integrates deeper into our everyday lives?
The stakes are high: A recent report by Camunda highlights an inconvenient truth: most organisations (84%) attribute regulatory compliance issues to a lack of transparency in AI applications. If companies can’t view algorithms – or worse, if the algorithms are hiding something – users are left completely in the dark. Add the factors of systemic bias, untested systems, and a patchwork of regulations and you have a recipe for mistrust on a large scale.

Transparency: Opening the AI black box
For all their impressive capabilities, AI algorithms are often opaque, leaving users ignorant of how decisions are reached. Is that AI-powered loan request being denied because of your credit score – or due to an undisclosed company bias? Without transparency, AI can pursue its owner’s goals, or that of its owner, while the user remains unaware, still believing it’s doing their bidding.
One promising solution would be to put the processes on the blockchain, making algorithms verifiable and auditable by anyone. This is where Web3 tech comes in. We’re already seeing startups explore the possibilities. Space and Time (SxT), an outfit backed by Microsoft, offers tamper-proof data feeds consisting of a verifiable compute layer, so SxT can ensure that the information on which AI relies is real, accurate, and untainted by a single entity.
Space and Time’s novel Proof of SQL prover guarantees queries are computed accurately against untampered data, proving computations in blockchain histories and being able to do so much faster than state-of-the art zkVMs and coprocessors. In essence, SxT helps establish trust in AI’s inputs without dependence on a centralised power.

Proving AI can be trusted
Trust isn’t a one-and-done deal; it’s earned over time, analogous to a restaurant maintaining standards to retain its Michelin star. AI systems must be assessed continually for performance and safety, especially in high-stakes domains like healthcare or autonomous driving. A second-rate AI prescribing the wrong medicines or hitting a pedestrian is more than a glitch, it’s a catastrophe.
This is the beauty of open-source models and on-chain verification via using immutable ledgers, with built-in privacy protections assured by the use of cryptography like Zero-Knowledge Proofs (ZKPs). Trust isn’t the only consideration, however: Users must know what AI can and can’t do, to set their expectations realistically. If a user believes AI is infallible, they’re more likely to trust flawed output.
To date, the AI education narrative has centred on its dangers. From now on, we should try to improve users’ knowledge of AI’s capabilities and limitations, better to ensure users are empowered not exploited.

Compliance and accountability
As with cryptocurrency, the word compliance comes often when discussing AI. AI doesn’t get a pass under the law and various regulations. How should a faceless algorithm be held accountable? The answer may lie in the modular blockchain protocol Cartesi, which ensures AI inference happens on-chain.
Cartesi’s virtual machine lets developers run standard AI libraries – like TensorFlow, PyTorch, and Llama.cpp – in a decentralised execution environment, making it suitable for on-chain AI development. In other words, a blend of blockchain transparency and computational AI.

Trust through decentralisation
The UN’s recent Technology and Innovation Report shows that while AI promises prosperity and innovation, its development risks “deepening global divides.” Decentralisation could be the answer, one that helps AI scale and instils trust in what’s under the hood.

AI is reshaping the financial services industry

In the dynamic world of financial services, artificial intelligence (AI), particularly Generative AI (GenAI), has become the linchpin of transformative change, redefining the operational and strategic horizons of the banking sector. GenAI’s capacity for creating new, original content is not merely an incremental advancement but a change in basic assumptions that is propelling banking toward a future ripe with innovation and efficiency

GenAI models such as GPT, with its transformer architecture, mark a quantum leap from the AI of yesteryear, which primarily focused on understanding and processing information. Today, these models are the architects of text, images, code and more, initiating an era of unparalleled innovation in banking. The strategic deployment of GenAI is much more than a trend; it is a comprehensive reimagining of operations, product development and risk management, allowing banks to deliver personalized services and novel solutions while streamlining mundane tasks.

The evolution of AI in banking has been nothing short of revolutionary, moving from foundational concepts to the creation of sophisticated, innovative applications.

This transformation is apparent in the broad spectrum of available AI applications, from automated knowledge management to investment research and bespoke banking services, each underscoring the remarkable advancements and potential of GenAI. Major banks, especially those in North America, have been pioneers in this journey, making substantial investments in AI to spearhead innovation, talent development and operational transparency. Their investment strategies encompass a wide range of applications, including enhancement of fraud detection mechanisms and customer service chatbots. Their focus is on acquiring critical hardware, such as NVIDIA chips for AI processes, and making strategic investments in human and technological resources. The aim of refining existing processes is driving this strategic shift, combined with an ambition to explore and capitalize on high-impact AI use cases, balance potential benefits against risks, and scale innovative prototypes into robust solutions.

How Artificial Intelligence is Transforming the Fi

The Financial Services Industry has entered the Artificial Intelligence (AI) phase of the digital marathon, a journey that started with the advent of the internet and has taken organisations through several stages of digitalisation. The emergence of AI is disrupting the physics of the industry, weakening the bonds that have held together the components of the traditional financial institutions and opening the door to more innovations and new operating models. 

How Artificial Intelligence is Transforming the Financial Services 

AI is an area of computer science that emphasises on the creation of intelligent machines that work and perform tasks like humans. These machines are able to teach themselves, organise and interpret information to make predictions based on this information. It has therefore become an essential part of technology in the Banking, Financial Services and Insurance (BFSI) Industry, and is changing the way products and services are offered.

Key stakeholders of AI in finance

A diverse set of stakeholders implement, operate, regulate and utilize AI technologies in the financial sector. These include:

Auditors and internal control teams:Responsible for assessing the effectiveness of AI systems, these individuals and groups conduct audits to identify potential issues and risks and ensure efficiency, accuracy and compliance.

Chief information officers (CIOs) and chief technology officers (CTOs):As overseers of the organization’s technical infrastructure, CIOs and CTOs make key decisions regarding AI implementation, usage and security.

Customers:A positive user experience with AI-driven apps is necessary for customers and end users to have confidence and trust in the financial organization.

Developers:AI developers are responsible for designing and implementing AI systems into the organization, and ensuring their accuracy and effectiveness.

Ethics and diversity officers:Organizations task these individuals with guarding against bias, ensuring fairness and inclusivity in the use of AI.

Executives:Top executives and the Board of Directors make strategic decisions regarding the implementation and use of AI initiatives and their proper management.

Financial organizations:Banks, investment firms and other financial institutions deploy AI to increase the effectiveness of fraud detection, risk management, underwriting, investment strategies and customer service. 

Legal teams:These teams work with regulators to ensure that AI applications comply with relevant laws and industry regulations.

Risk management teams:As AI is often used for assessing and mitigating risk in financial organizations, these teams monitor the effectiveness of the AI systems.

How is AI used in finance?

Here are some key areas where AI is commonly applied in the financial industry: 

Algorithmic trading:AI can be used to develop trading algorithms that can analyze market trends and historical data to make decisions and execute trades faster than humans.

Automation and efficiency:AI can automate repetitive and time-consuming tasks, allowing financial institutions to process large amounts of data faster and more accurately.

Competitive advantage:AI can help financial institutions foster innovation and stay at the forefront of technology, which can give them a competitive edge.

Compliance:AI can automate monitoring and reporting requirements to ensure regulatory compliance

Credit scoring:AI can analyze a variety of data, including social media activity and other online behavior, to assess customers’ creditworthiness and make more accurate credit decisions.

Cost reduction:By automating tasks, financial institutions can reduce manual labor, streamline workflows and improve operational efficiency, which can reduce costs.

Customer service:By answering questions and completing routine tasks 24/7, AI-powered personal assistants and chatbots can reduce the need for human intervention, provide personalized customer service such as real-time credit approvals, and offer consumers improved fraud protection and cybersecurity.

Data analysis:AI can analyze massive amounts of data and extract insights and trends that would be difficult for human data scientists to detect, enabling more informed decision-making and a deeper understanding of market behavior.

Fraud detection:AI algorithms can prevent financial crime, such as fraud and cyberattacks, by identifying unusual patterns in financial transactions. This helps improve security in activities such as online banking and credit card transactions.

Loan processing:AI can better predict and assess loan risks, and streamline the process and approvals for borrowers by automating tasks such as risk assessment, credit scoring and document verification.

Personal finances:AI tools can help people manage their personal finances by analyzing goals, spending patterns and risk tolerance to develop budgeting advice and savings strategies.

Portfolio management:AI can analyze market conditions and economic indicators to help investors make better decisions and optimize their portfolios.

Predictive analytics:AI can enable predictive modeling, which can help financial organizations anticipate market trends, potential risks and customer behavior.

Risk management:AI can analyze data to help financial organizations assess and manage risks more effectively and create a more secure and stable financial environment.

Sentiment analysis:AI can analyze news sources, social media and other information to gauge market sentiment, which can help predict market trends and influence decision-making.

Asian Stocks Down, With Record COVID-19 Cases in U

By Gina Lee

Asian stock markets were mostly down on Friday, with investor hopes of a quick economic recovery dashed after the U.S. reported a record number of cases.

With states such as Florida, California and Texas reporting record numbers, over 60,000 new cases were reported in the country on Thursday.

Meanwhile, Hong Kong re-imposed tightened social distancing measures on Thursday to curb a new outbreak of cases in the city. Other cities currently under a second lockdown include Melbourne and Beijing.

“Coronavirus anxiety dominated market sentiment in a day where major economic releases were scarce... That left the focus on the high frequency data and daily COVID-19 news,” Kishti Sen, an economist at ANZ Research, said in a note.

Japan’s Nikkei 225 was down 0.36% by 11:12 PM ET (4:12 AM GMT) and South Korea’s KOSPI was down 0.66%. Seoul’s mayor Won Soon Park was found dead in a suspected suicide after his daughter reported him missing on Thursday.

Down Under, the ASX 200 was down 0.14%.

Hong Kong’s Hang Seng Index was down 1.01%. China’s Shanghai Composite was down 0.84% while the Shenzhen Component was down 1.01%, with China’s markets putting an end to an almost three-week rally.

Capital Economics economist Oliver Jones told Reuters that the rise in China’s mainland equities bore similarities to the 2015 bubble, but on a smaller scale and with room for prices to inflate.

“That said, another boom-bust cycle in China’s equities could have even greater knock-on effects for markets elsewhere than before, with foreign holdings far higher now than five years ago,” he added.

Asian stocks fall on virus worry, China stock rall

By Stanley White and John McCrank


TOKYO/NEW YORK (Reuters) - Asian shares and U.S. stock futures fell on Friday as record-breaking new coronavirus cases in several U.S. states stoked concerns that new lockdowns could derail an economic recovery, while investors looked forward to earnings season.


MSCI's broadest index of Asia-Pacific shares outside Japan fell 0.76%. Australian stocks dropped 0.42%, while Japanese stocks declined by 0.4%.


Shares in China fell 0.72%, the first decline in more than a week, as investors booked profits on a surge in equities to a five-year high.


E-mini futures for the S&P 500 erased early gains to trade down 0.01%.


The Antipodean currencies fell and the yen rose as traders shunned risk and sought safe havens.


More than 60,500 new COVID-19 infections were reported across the United States on Thursday, the largest single-day tally of cases by any country since the virus emerged late last year in China.


That heightened concerns that renewed lockdowns could hurt the economic recovery.


The number of Americans filing for jobless benefits dropped to a near four-month low last week, data showed.


But investors remained cautious as the report also said a record 32.9 million people were collecting unemployment checks in the third week of June, supporting expectations the labor market would take years to recover from the COVID-19 pandemic.


"Weakness in financial stocks, with the bank sub-index down 2.5%, comes ahead of next week's Q2 reporting season that sees JP Morgan, Citigroup (NYSE:C) and Wells Fargo (NYSE:WFC) all report next Tuesday and following news that Wells Fargo is planning to cut 'thousands' of jobs starting later this year," said Ray Attrill, head of FX strategy at National Australia Bank (OTC:NABZY).


On Thursday, the Dow Jones Industrial Average fell 1.39% and the S&P 500 dropped 0.56%, but the tech-heavy Nasdaq rose 0.53% to its fifth record closing high in six days.


Mainland China shares fell on Friday for the first time since June 29. Shares had surged to the highest since 2015 on Thursday, fueled by retail investor enthusiasm and policy support, even as regulators cracked down on margin financing and as state media warned of market risks.


The rise in China's mainland equities has some similarities to the bubble there five years ago, but it is not yet close in scale, and prices could continue to inflate for some time, said Capital Economics economist Oliver Jones.


"That said, another boom-bust cycle in China's equities could have even greater knock-on effects for markets elsewhere than before, with foreign holdings far higher now than five years ago," he said.


Fueled by illegal margin lending, the 2015-16 market bubble saw the benchmark Shanghai index fall more than 40% from its peak in just a few weeks.


In the currency market, the yen edged up against the dollar and the euro as investors bought the traditional safe haven.


The Australian and New Zealand dollars, which are often traded as a liquid proxy for risk because of their close ties to China's economy, both fell against the greenback.


The Aussie also fell as local officials use lockdowns and border restrictions to contain a sudden increase in coronavirus cases.


U.S. crude fell 0.23% to $39.53 a barrel, while Brent crude edged 0.02% lower to $42.34 per barrel due to concerns about a long-term decline in global energy demand.

Virgin Australia bondholders to table rival deal f

SYDNEY (Reuters) - Virgin Australia Holdings Ltd (AX:VAH) bondholders plan to propose an alternative deal to creditors to the purchase by Bain Capital agreed by the company's administrator, a lawyer for the bondholders said on Friday.


Singapore's Broad Peak Investment Advisers and Hong Kong's Tor Investment Management plan to put forward an alternative deed of company arrangement (DOCA) to a vote at a creditor's meeting next month, said Ian Jackman, a lawyer representing them.


"The administrators will no doubt put forward a DOCA that represents the Bain transaction at the second meeting of creditors," he said at a court hearing.


"We for our part will have an alternative DOCA….with a view to improving the return of creditors as well as ensuring the future viability of the company."

Ford says restrictions at Mexico plants 'not susta

By Anthony Esposito


MEXICO CITY (Reuters) - Ford Motor Co on Thursday said new staffing restrictions imposed on plants producing car parts in the Mexican state of Chihuahua were "not sustainable," the latest sign U.S. automakers are still reeling from coronavirus lockdowns in Mexico.


Mexico is a key part of a wider international supply chain crucial to U.S. carmakers, many of which operate factories across the border in Mexico due to lower labor costs.


Chihuahua, where the state government has limited employee attendance to 50% in plants, is home to a Ford (N:F) engine plant and many auto parts producers.


U.S. ambassador to Mexico Christopher Landau on Thursday said the Dearborn, Michigan-based automaker may have to shut some U.S. car plants as early as next week if they fail to receive Mexico-produced engines.


Kumar Galhotra, president of Ford's Americas and International Markets Group, said the company had "several suppliers" operating under restrictions imposed by Chihuahua state.


"With our U.S. plants running at 100%, that is not sustainable," Galhotra said in an emailed statement.


"While we do not expect any impact to production next week, we are continuing to work with government officials on ways to safely and constructively resume remaining production," he said.


Mexico's federal government has given automakers, mining firms and builders, with activities deemed essential, the green light to restart work, though some states have implemented their own restrictions as the coronavirus pandemic rages on.


Landau said a senior Ford executive told him on Wednesday night about the company's concern over parts produced in Chihuahua state.


"They're saying that they're going to start shutting down factories in the United States as of next week if they don't get that rolling," Landau said, in a talk organized by the Atlantic Council.


Alejandra de la Vega, Chihuahua's minister of innovation and economic development, said she was in "constant contact" with Ford and spoke with a company executive Thursday morning, but did not specify what was discussed.


De la Vega said Chihuahua had created a traffic light system to allow different sectors to gradually reopen from lockdowns, but added it was a "balancing act" to protect both public health and the economy.


In May, when Mexico signaled it would delay the reopening of its factories, Mexican officials said their U.S. counterparts pushed for a speedy return, arguing that U.S. plants on American soil could not operate without them.


(This story corrects to fix typographical error in headline)

UK retail warns shoppers face higher prices if no

LONDON (Reuters) - Britain's retail industry on Friday urged UK and European negotiators to reach a post-Brexit trade deal, warning that without tariff-free trade, consumers face higher prices from next year.


The sector has already announced thousands of job losses due the coronavirus pandemic as wary shoppers stay away from the high street, and the next stage of the Brexit process poses a further challenge.


Britain left the EU in January and is currently in a standstill transition period with the bloc to give the two sides time to fix a new relationship in everything from trade to security.


Last week's round of talks was cut short, with both sides saying that, while they wanted an agreement, they had yet to overcome the gulf in positions that could see Britain leaving the transition period without a trade deal.


Four-fifths of UK food imports come from the EU and EU imports also play a major role in supply chains for fashion, homeware, and other retail sectors.


In May, the UK government published its new tariff schedule, which would apply from Jan. 1 2021 if a deal was not agreed.


Under the schedule, 85% of foods imported from the EU will face tariffs of more than 5%, including 48% on beef mince and 16% on cucumbers. The average tariff on food imported from the EU would be over 20%.


Given the highly competitive nature of retail, the industry could not absorb all these increased costs, meaning the public would face higher prices, the British Retail Consortium (BRC) said.


“Many UK shoppers experienced disruption in the run up to (coronavirus) lockdown; without a deal, the public may face an even bigger challenge at the end of the transition period," said Andrew Opie, the BRC's director of food and sustainability.


"With the clock ticking down to 31st December, the government must put consumers first and agree a deal that avoids tariffs and minimises the impact of non-tariff barriers."


UK retailers, already struggling with high rents, business taxes, tight margins and online competition, were particularly hammered by the lockdown and data shows shoppers are reluctant to enter stores even as restrictions ease.

Wells Fargo names new head of mortgage

By Imani Moise

(Reuters) - Wells Fargo & Co (N:WFC) said on Thursday it has hired Flagstar Bank's Kristy Fercho to run its mortgage division following the retirement of 23-year veteran Michael DeVito from the company.

Fercho will oversee home lending operations of the largest mortgage lender in the United States during a time of uncertainty in the industry. She had run Flagstar's mortgage business for the past three years.

Wells Fargo has pared back some mortgage offerings and raised requirements for certain kinds of loans during the coronavirus-fueled economic downturn. As of last month, the bank had received forbearance requests for roughly 13% of its mortgage balances, it has said.

Since taking over as chief executive late last year, Charles Scharf has shaken up leadership at the bank and installed a slew of former colleagues in top positions. In the wake of racial tensions across the United States, Scharf has also pledged to diversify the bank's leadership team.

"She has been an inspiring and vocal leader across the mortgage industry while driving transformational growth at Flagstar,” said Mike Weinbach, new CEO of Consumer Lending at Wells Fargo, referring to Fercho, who is Black.

DeVito, who ran the mortgage division for two years, will retire later this summer.

Separately, Wells Fargo's former chief operational risk officer, Mark Weintraub, has left the bank following a broad overhaul of its risk management structure, according to sources familiar with the matter. In his role, Weintraub helped oversee the bank's efforts to address the Federal Reserve's consent order requiring Wells Fargo to improve its risk controls following wide ranging consumer abuses.

Cannae, Senator hire D.F. King as solicitor in bid

By Svea Herbst-Bayliss


BOSTON (Reuters) - Cannae Holdings (NYSE:CNNE) and Senator Investment Group, which are trying to buy property data and analytics company CoreLogic Inc, have hired a proxy solicitor, a source familiar with the matter said on Thursday.


A proxy solicitor polls large shareholders on how they plan to vote on hotly contested corporate matters like mergers or proxy fights. Hiring one signals that Cannae and Senator are taking next steps to prepare for a potential fight with CoreLogic.


The source said the two firms tapped D.F. King two days after CoreLogic rejected their unsolicited $7 billion takeover bid.


Last month Cannae and Senator, which jointly hold an economic interest of roughly 15% in CoreLogic, proposed to buy the company, valued at $5.3 billion, for $65 a share. The stock has since risen past the offer price and closed at $67.54 on Thursday.


This week, Cannae and Senator said they stillhope to engage with the company but also said they could call a special meeting as soon as July 28 to replace the current board. CoreLogic said it "is open to all viable paths to increasing shareholder value" and that it is "willing to meet with Senator and Cannae."


Bank of America (NYSE:BAC) has said that it was sure it could arrange financing for the deal.


D.F. King has worked with Xerox (NYSE:XRX) in a hostile bid for HP (NYSE:HPQ), which was canceled because of the Covid-19 pandemic, Mantle Ridge in its investment in Aramark where the investment firm gained control of the board, and the Rice Brothers in their successful proxy contest at natural gas producer EQT Corp (NYSE:EQT).


Representatives for D.F. King, Cannae and Senator did not respond to requests for comment.


CoreLogic hired Innisfree as its solicitor, the company said earlier this week.