Category: Bookkeeping

Accounts Receivable A R Formula + Calculator

I’m here to take you on a journey through the mystical world of numbers and balances. By the end of this subsection, you’ll be a master of financial wizardry, ready to conquer your bank statements like a boss. In accounting, beginning and ending balances are used interchangeably with opening and closing. Adding Up Assets The…
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After-Tax Income Definition & Examples

Simply put, after-tax income is essentially total paycheck minus after-tax income definition total taxes. For corporations, after-tax income provides a more accurate forecast of cash flows because it provides a true measure of the cash available for spending. Understanding after-tax income is crucial for effective financial planning. After-tax salary is the money you take home…
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California 2024 Tax Brackets and Rates

Numerous tax changes took effect in Kansas as a result of Senate Bill 1, enacted in June 2024. In the following tables, we have compiled the most up-to-date data available on state individual income tax rates, brackets, standard deductions, and personal exemptions for both single and joint filers. Following the tables, we document notable individual…
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Understanding Form 990: A Guide for Nonprofits

Organization M reported $50,000 as total revenue on line 9 of its Form 990-EZ. M added back the costs and expenses it had deducted on lines 5b ($2,000), 6c ($1,500), and 7b ($500) to its total revenue of $50,000 and determined that its gross receipts for the tax year were $54,000. A public charity claiming…
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Employer Payroll Tax Responsibilities

Darla’s positive attributes make her an exceptional team player. Her organizational skills imply that she is methodical and detail-oriented in her work, which can help streamline processes and ensure that tasks are completed efficiently. If Jamal invests the full $1,230 into a tax-deferred IRA that earns 12% interest per year, compounded annually, he will have…
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How to Record Allowance for Doubtful Accounts

Yes, Allowance for https://www.pirit.info/2018/12/ Doubtful Accounts is included on the balance sheet as a reduction to Accounts Receivable. This adjustment shows the amount of receivables a business expects not to collect, giving the net amount of receivables that are likely to be paid. While there is no one-size-fits-all benchmark, certain industries tend to have higher…
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How to Convert Accrual Basis to Cash Basis Accounting?

This accrual to cash basis conversion worksheet template allows you to easily convert your cash-based financial statements into accrual-based statements, providing a more comprehensive view of your company’s financial health. Companies that adhere to GAAP guidelines should use the accrual-basis accounting approach. Prepaid expenses need to be revised in the same way that prepaid revenue…
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How to Record Sales Returns and Allowances? Explanation and Journal Entries

The second approach is more convenient for companies that experience too many such transactions during the year. Companies offer sales returns and allowances as a way to maintain good customer relations and provide customer satisfaction. Sales returns refer to the products that are returned by customers, while allowances refer to the discounts or price reductions…
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The Basic Accounting Equation Financial Accounting

After saving up money for a year, Ted decides it is time to officially start his business. He forms Speakers, Inc. and contributes $100,000 to the company in exchange for all of its newly issued shares. This business transaction increases company cash and increases equity by the same amount. Owners can increase their ownership share…
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Lease termination payments: Considerations for the lessor

It may be reasonable to use the general principle of “substance Accounts Receivable Outsourcing over form” and treat these as costs included in the general framework of lease termination payments. The court applied its lease termination analysis to the payments without regard to the contract language or the specific purpose for which the payments were…
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REVIEWS AND ACCLAIM

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. ..

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

DIMENSIONS OF TRUST IN AI

Trustworthy AI results from how people, processes and technologies function together across multiple dimensions of trust. Not every dimension is pertinent for every organization or cognitive tool.These dimensions are explored in depth in Trustworthy AI, by Beena Ammanath.

  • Fair and Impartial
  • Robust and Reliable
  • AI Privacy
  • Safe and Secure
  • Transparent and Explainable AI
  • Accountable and Responsible
Trustworthy AI results from how people, processes and technologies function together across multiple dimensions of trust. Not every dimension is pertinent for every organization or cognitive tool. Rather, the dimensions of trust are lenses for interrogating AI design, function, and outcomes. With regular activities, decisions and documentation across the AI lifecycle, weighing and addressing the dimensions of trust is what permits effective AI governance and unleashes AI’s greatest potential value. These dimensions are explored in depth in Trustworthy AI, by Beena Ammanath.
  • Fair and Impartial
  • Robust and Reliable
  • AI Privacy
  • Safe and Secure
  • Transparent and Explainable AI
  • Accountable and Responsible

AUTHOR BEENA AMMANATH

Beena Ammanath is a global thought leader in AI ethics and an award-winning senior technology executive with extensive global experience in AI and digital transformation. Her work has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is the Executive Director of the Global Deloitte AI Institute…

Beena Ammanath is a global thought leader in AI ethics and an award-winning senior technology executive with extensive global experience in AI and digital transformation. Her work has spanned leadership roles in e-commerce, finance, marketing, telecom, retail, software products, service, and industrial domains. She is the Executive Director of the Global Deloitte AI Institute and leads Trustworthy AI and Ethical Technology at Deloitte. Prior to joining Deloitte, Beena served as the CTO for AI at Hewlett Packard Enterprise, where she created a new practice area focused on AI and emerging technologies. Before this, she was the head of Data Science and Innovation at General Electric, working across all GE businesses, including aviation, transportation, healthcare, power, energy and renewables, and oil and gas…

THE NEED FOR TRUSTWORTHY AI

There has arguably never been a more exciting time in AI. Alongside the arrival of so much promise and potential, however, more attention is due to the ethics and trustworthiness of this powerful technology. It is a question of not just what can be done with AI but how it should be done – or whether it should be done at all. Because AI has been developed to this level of maturity, we must now grapple with some of the more complex ethical considerations concerning AI.

What does it mean for AI use to be ethical? How do we know if we can trust the AI tools we use?

The trajectory of AI can be conceived along three streams: research, application, and trust and ethics. Research concerns data science…

ESSENTIAL READING FOR EXECUTIVES

Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy – even for human workers…

Businesses today are rapidly scaling AI to gain powerful new capabilities and to improve how they operate. Humans and machines are increasingly working together. And this trend exposes businesses to heightened risk of AI behaving in ways that are unethical. Just like their human counterparts in the workforce, AI systems are expected to adhere to social norms and ethics and to make fair decisions in ways that are consistent, transparent, explainable, and unbiased. Of course, figuring out what is ethical and socially acceptable isn’t always easy – even for human workers.

Trustworthy AI offers readers a pragmatic and direct approach to ethics and trust in artificial intelligence. The book presents a straightforward and structured way to think about AI ethics and offers practical guidelines for organizations developing or using AI solutions.

エグゼクティブ必読

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断するのは、人間の労働者にとっても必ずしも簡単ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。

今日の企業は、強力な新機能の獲得と業務改善のために AI を急速に拡大しています。人間と機械の連携がますます進んでいます。そしてこの傾向により、企業は AI が非倫理的な行動をとるリスクが高まっています。職場の人間と同じように、AI システムも社会規範と倫理を遵守し、一貫性、透明性、説明可能性、偏見のない方法で公正な決定を下すことが求められています。もちろん、倫理的で社会的に許容されるものを判断するのは、人間の労働者にとっても必ずしも簡単ではありません。

『Trustworthy AI』は、人工知能の倫理と信頼に対する実際的かつ直接的なアプローチを読者に提供します。この本は、AI 倫理について考えるための単純かつ構造化された方法を示し、AI ソリューションを開発または使用する組織に実用的なガイドラインを提供します。