Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Feb 27, 2021

Are Business Leaders Taking an Ethical Approach to A.I.?

Powerful, functional tools – like machine and deep learning – are becoming commonplace within businesses, governments, and more. But every positive story seems to be met with equal outpourings of concern about job loss, wealth stratification, and Skynet-esque machine domination.

There are positive signs that businesses recognize their role in assuaging these fears, according to a recent study conducted by SAS, Accenture, Intel, and Forbes Insights. “AI Momentum, Maturity, and Models for Success,” based on a global executive survey of 305 business leaders, reports that leadership is both aware of and actively taking steps to ensure that AI is used ethically and responsibly at their respective companies. 72 percent of businesses around the world have adopted AI; of these companies, 70 percent offer training for staff and 63 percent have functional ethics committees to oversee AI-related issues. 92 percent of “AI leaders” in these organizations receive some type of ethics training – chief information, technology, and analytics officers included.

Some organizations have created AI-oversight positions, including study-contributor Accenture Applied Intelligence. Rumman Chowdhury, the responsible AI lead there, says that organizations realize the seriousness of potential AI issues and “have begun addressing concerns and aberrations…such as biased and unfair treatment of people.” Doing so means enjoying AI’s benefits while embracing a “do no harm” ethos, which Chowdhury believes includes providing “prescriptive, specific and technical guidelines to develop AI systems that are secure, transparent, explainable, and accountable” – all in an effort “to avoid unintended consequences and compliance challenges that can be harmful to individuals, businesses, and society.”

There is additional positive news: 74 percent of AI leaders “reported careful oversight with at least a weekly review or evaluation of outcomes”, while 43 percent have implemented processes for “augmenting or overriding” results found to be questionable through the review process. But there remains room for improvement, and advances in AI (as well as increased adoption) mean businesses are responsible for keeping up. Yinyin Liu, who heads Intel AI’s data science division, believes understanding AI “enables effective human oversight”. “Algorithm transparency and accountability, as well as having AI systems signal that they are not human, will go a long way toward developing the trust needed for widespread adoption,” says Liu.

Trust – between business and customers, and between employees and AI – may be the single most important driver in encouraging companies to practice ethical AI use. 60 percent of businesses that have or plan to deploy AI “are concerned about the impact of AI-driven decisions on customer engagement…that their actions will not show enough empathy or customers will trust them less.”

Functional AI is still a relatively new phenomenon, with all the challenges inherent to that newness. Forbes Insights research director Ross Gagnon says “…the question executives should be asking themselves is not whether to deploy AI, but how quickly?” Doing so ethically will mean maintaining the trust of their customers and employees – and ensuring a bright and successful future.
 

If You’re Wondering When A.I. Will Start Making Market Predictions…

Guess what – it already is. Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

Interact to see
Advertisement
Paper wallets are extremely useful tools – beyond being one of the most popular and secure cold storage methods, they make it simple to transfer coins between owners.You can access the funds on your paper wallet by “sweeping” (or importing) them to either a live wallet (like Trezor or Exodus) or an exchange service (like Coinbase). Most services allow you to import them directly from your wallet’s private key, but there are two key exceptions.
Learn the 27 essential intraday trading rules that every manual trader should master—and discover how Tickeron’s AI platform applies them automatically for consistent, emotion-free execution and smarter, real-time decision-making.
#investment#trading
A $2 trillion sell-off has investors asking: is 2025 the next dot-com crash or a replay of the 2008 recession? This deep dive compares both scenarios, outlines warning signs, and reveals how AI-powered trading strategies can help navigate rising volatility.
#trading#investment
New to trading? Discover 21 powerful lessons every beginner must learn—and see how Tickeron’s AI Double Agent strategies apply them in real time. From mastering risk to managing emotions, this guide helps you trade smarter, safer, and more confidently.
#investment#trading
From the railroads of the 1920s to the AI giants of 2025, market history shows that extreme concentration often precedes massive bubbles and crashes. This article explores five key turning points and how Tickeron’s AI helps traders navigate today’s bubble-prone landscape.
#investment#trading
U.S. tariff tensions rocked markets this week, sending tech stocks into retreat and safe-haven assets like gold and the yen soaring. As investors brace for major earnings and global policy shifts, volatility remains high across equities, currencies, and commodities.
#investment#trading
Tesla’s Q1 2025 earnings could surprise investors as the EV giant looks to rebound from last quarter’s miss. With lowered expectations and increased volatility, Tickeron’s AI-powered strategy helps traders navigate both upside potential and downside risk.
#investment#trading
Gold is on a historic run—up 29% YTD with record-breaking inflows and growing macro tailwinds. Discover why smart investors are eyeing gold, silver, and miners for opportunity, and how AI trading tools are unlocking new ways to profit from the 2025 gold rush.
#investment#trading
Tickeron launches its innovative Double Agent Trading Bot, combining long NVDA trades with hedged NVDS positions. Using AI-driven pattern trading and real-time risk management, the bot achieves a 75% success rate, revolutionizing automated trading strategies.
#trading#investment
Tickeron’s AI trading bots are setting new standards in finance, achieving up to 86.6% win rates across leveraged and sector ETFs. Powered by advanced Financial Learning Models (FLMs), Tickeron’s AI delivers precision, adaptability, and real-time trading success.
#trading
Wall Street expects strong profit growth from the Magnificent Seven tech giants in 2025. Discover how to trade Apple, Microsoft, Amazon, Nvidia, Tesla, Meta, and Alphabet using AI-powered Double Agent strategies and smart hedging with inverse ETFs like QID.
On May 2, 2025, a diverse group of companies across energy, financial services, basic materials, consumer discretionary, and healthcare will release their Q1 2025 earnings.
In April 2025, five tech giants—NVIDIA, Tesla, Meta, Palantir, and Amazon—each surged over 40%, driven by AI breakthroughs, strong earnings, and market momentum. Discover what fueled the rally and how Tickeron’s AI trading bots helped investors outperform even these star stocks.
#investment
Markets ended April with mixed signals—gold slid on trade optimism, Big Tech lifted the Nasdaq, and Bitcoin steadied near $94K. With U.S. GDP contracting and job growth beating forecasts, investors brace for more volatility amid tariffs and central bank moves.
In a turbulent market, Tickeron's AI-powered Double Agent Bot is outperforming traditional strategies. Leveraging real-time intraday signals and inverse ETFs, the bot posted a +9.77% quarterly gain while the S&P 500 dropped 9.28%. Here's how AI is reshaping trading.
#trading
As Warren Buffett announces his retirement, investors turn to his trusted Buffett Indicator—a ratio of market cap to GDP—as a key gauge of market valuation.
#investment
Markets move in repeating cycles—Accumulation, Uptrend, Distribution, and Downtrend. Learn how to recognize each phase and deploy Tickeron’s AI-powered Double Agent strategy to adapt, protect capital, and profit in any market condition.
#trading
Discover how confirmation trading techniques—like moving average crossovers and volume-backed breakouts—can improve accuracy and reduce false signals. Learn how Tickeron’s AI automates these strategies for smarter, faster, and more disciplined trading.
#trading
Hedge funds are ramping up bearish bets on small-cap stocks, with Russell 2000 short interest hitting new highs. As macro headwinds mount and technical support teeters, Tickeron’s AI Double Agents step in to navigate the looming sell-off with precision.
#investment#trading#artificial_intelligence
SPY’s Momentum Indicator turned bullish on April 25, 2025, signaling a potential trend shift with a 90% historical success rate. This article explores how economic scarcity, technical signals, and AI-driven tools like Tickeron’s A.I.dvisor shape investor decisions in volatile markets.
#trading