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Leading High Performing Remote Teams
How can leaders ensure that performance remains high in remote or hybrid-work environments?
Content Marketing
In this course, you’ll learn how compelling blogs, videos, podcasts, and other media can reach customers and drive sales. You’ll also learn steps for creating an effective content marketing plan, and some important ways to measure its impact and success.
Content marketing is a essential digital marketing strategy for companies looking to provide relevant and useful information to support your community and attract new customers.
Get started on your content marketing journey today.
Sustainable Innovation in Times of Disruption: Choices for a Better Society
There are opportunities for progress all around us. The key is to innovate on these opportunities sustainably.
To help identify most effective path forward, you'll need to gain a global perspective to these challenges in an open discussion. How can Japan and the world take action to create a more sustainable, innovative world? Where do you fit in?
It's time to find out.
Social Media & Digital Communications: Impact on Global Public Opinion
Social and digital media have dominated the communications industry for decades. But it's no secret that social media has the power to sway public opinion, and the way in which many companies use these platforms could be seen as manipulative.
What do companies need to be aware of when utilizing social and digital media? How can these mediums be used to better communicate strategically with the world?
Discover what top media and communications experts have to say.
CAGE Distance Framework
Want to expand overseas? The CAGE distance framework can help ensure you're constructing a solid global strategy in four areas: cultural, administrative, economic, and geographic. Learn how to leverage useful differences between countries, identify potential obstacles, and achieve global business success.
Servant Leadership
There's more to leadership than driving a team to profit. In fact, there's a word for looking beyond self-interest to prioritize individual growth: servant leadership. Try this course for a quick breakdown of what that is, how it works, and how it can lead to organizational success.
Strategy: Creating Value Inside Your Company
Have you ever wondered why certain companies are more successful than others? The answer is strategy: internal processes that control costs, allocate resources, and create value. This course from GLOBIS Unlimited can give you the tools you need for that strategic edge.
Strategy: Understanding the External Environment
To plan strategy on any level, you need to understand your company's external environment. In fact, your level of understanding can impact hiring, budgeting, marketing, or nearly any other part of the business world. Want to learn how to do all that? This course from GLOBIS Unlimited is the perfect first step!
Using Japanese Values to Thrive in Global Business
Japanese companies have unique cultural, communication, and operational challenges. But they also have values that have led to remarkable longevity. Check out this seminar to hear how these values help earn trust from overseas head offices and develop employees.
Marketing: Reaching Your Target
Every company works hard to get its products into the hands of customers. Are you doing everything you can to compete? In this course, you’ll find a winning formula to turn a product idea into real sales. Follow along through the fundamentals of the marketing mix and see how companies successfully bring products to market.
Basic Accounting: Financial Analysis
Want to compare your performance vs. a competitor? Or evaluate a potential vendor? Then you'll need to conduct a financial analysis. This course will teach you how to use three financial statements and evaluate financial performance in terms of profitability, efficiency, soundness, growth, and overall strength.
Career Anchors
What drives you to be good at your job?
Career anchors are based on your values, desires, motivations, and abilities. They are the immovable parts of your professional self-image that guide you throughout your career journey.
Try this short GLOBIS Unlimited course to identify which of the eight career anchors is yours!
Leadership with Passion through Kokorozashi
The key ingredient to success? Passion.
Finding your kokorozashi will unify your passions and skills to create positive change in society. This GLOBIS Unlimited course will help you develop the values and lifelong goals you need to become a strong, passion-driven leader.
TL;DR: Artificial Intelligence (AI) is disrupting and revolutionizing industries, businesses, and the workplace in previously unimaginable ways. But its rapid rise is raising ethical concerns with socio-economic and political consequences–from biased algorithms and widespread misinformation to the loss of privacy. While nobody knows for sure how best to tackle these issues, being transparent in how you use AI, taking accountability, and building a diverse team of experts to consult with on big AI-based decisions is a great place to start.
AI is no longer the future. It is happening now–accelerating the transformation of work at a rate that is overwhelming three-quarters of working professionals globally. In just a few short years since its inception, AI has found its way into 73% of American companies, who report using some form of AI technology as of end-2023. AI is expected to change 70% of most job skills by 2030, requiring workers to upskill and educate themselves to close the skills gap.
Most Challenging AI Ethics Issues
While AI could very well displace approximately 85 million jobs this year alone, it also opens at least 97 million new roles and opportunities. The widespread use of AI presents ethical implications with business repercussions requiring well thought-out solutions. Read on to learn more about AI ethics, its challenges and solutions, and building a framework for its proper development and implementation.
Digital Amplification
Using AI to enhance the distribution and reach of digital content, involves algorithms that prioritize certain information, magnify specific points of view and thus greatly shape public opinion. This raises concerns regarding fairness and transparency in data and the potential for spreading misinformation.
Algorithmic Bias
AI is trained on massive amounts of data created by humans that may also reflect their prejudices. As AI replicates and magnifies these biases, this systematic discrimination may result in unfair outcomes such as a gender bias leading to discriminatory hiring, the unequal allocation of developmental resources among employees and workplace prejudice. To combat AI bias, companies must ensure diverse and representative data sets and conduct regular bias audits while involving ethicists and affected communities in AI development.
Data Security & Privacy
AI-driven firms handle sensitive data, such as customers’ personal information and financial data, making them prone to cybersecurity attacks–85% of which have been identified as the result of malicious actors using AI. Collecting, storing and using vast amounts of customer data presents major privacy concerns. Organizations are ethically obliged to implement transparent data usage policies and robust cybersecurity measures that protect data from unauthorized access and misuse while ensuring their rigorous compliance with industry-specific data security laws (such as the Health Insurance Portability and Accountability Act protecting patients’ medical records in the healthcare industry). Security awareness training for all employees, regularly updating software and enabling multi-factor authentication are other measures that can boost data security.
Data Manipulation & Deception
Generative AI tools that produce texts and images such as ChatGPT and MidJourney allow machines to produce creative output faster, better and in greater volumes than humanly possible while still being dependent on original human input, leading to complex questions about who really owns AI-generated works. Intellectual property problems ranging from copyright infringement and plagiarism to using unlicensed content abound with generative AI, which is trained on large amounts of data that can include copyrighted works used without permission. Deepfakes–AI-manipulated audio, images and videos–are rapidly eroding public trust in digital content, posing a threat to democracy as a “disinformation amplifier” that can be used to spread fake news and propaganda. Developing AI tools that detect false content, strengthening content verification systems and digital media literacy are ways to mitigate these misinformation risks.
Socio-Economic Impact
AI’s groundbreaking ability to dramatically reduce the time and effort required to perform tasks, and greatly improve process and performance by removing human error, raises new existential problems for humanity. With AI massively changing the nature of work and the kinds of work humans can do, people will have to redefine what gives them meaning and purpose in a world where AI can do everything better, faster and more often. Concerns about economic inequality and unemployment continue to rise as AI and automation replace human jobs at an increasing rate. Many workers lack the skills to transition into AI-driven fields and risk falling behind. Policymakers and corporations should invest in re/upskilling programs for workers, promote ethical employment policies that encourage human and AI collaboration instead of replacement and explore economic solutions such as a Universal Basic Income to mitigate job losses.
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Generative AI . . . Basically
A Framework for Ethical AI Solutions
Developing, deploying and using AI technologies involves adhering to ethical principles and practices that safeguard against its misuse; moral guidelines that ensure that humans are not rendered obsolete, harmed or exploited by AI. Key principles in AI ethics include:
Inclusiveness, Fairness and Non-Discrimination
The economic divide of the 21st century is fundamentally digital–placing industries, businesses and workers that can’t leverage AI to optimize systems, processes and tasks at a disadvantage. The age of automation requires fostering a diverse and inclusive environment in both human interactions and the fair deployment of AI technologies. It will become paramount for organizations to consider the wider, societal impact of AI design and to ensure an equitable workplace where human insight is still prioritized and everyone has an opportunity to thrive in the digital economy.
Transparency and Explainability
One of the biggest challenges of AI is the technological “black box” that makes it difficult to understand how it works and makes decisions. AI processes, systems, technologies and decisions should thus be clear and understandable to users and stakeholders. Transparency is the best policy for avoiding legal and reputational issues while fostering customer trust, as it displays an organization’s sense of accountability and ownership over its AI-driven actions.
Accountability, Responsibility and Governance.
Who is responsible when AI makes mistakes? Businesses must establish a well-defined code of ethics and ensure that these ethical guidelines are followed and enforced by human actors as a way of providing clear accountability for their AI-driven decisions. It becomes every AI user’s responsibility to use AI responsibly.
Crafting and implementing an organizational framework for AI Ethics can be done by following these steps:
- Involve diverse stakeholders in AI ethics conversations.
Organizations are advised to assemble a well-represented and knowledgeable working group responsible for overseeing AI ethics given a company’s business needs, technological capabilities and operational know-how.
This group should ideally include…
1. AI or tech experts who can map out plans for ethical risk mitigation using different tools.
2. Legal and compliance experts who understand the regulatory frameworks and ethical considerations surrounding AI.
3. Senior leaders who can help ensure that risks are mitigated in ways compatible with business needs and goals. - Define your organization’s ethical policies and guidelines for using AI.
Legal and regulatory compliance aside, organizations must identify specific ethical risks for using AI in their industry and their standing on these issues. Conversations surrounding ethical benchmarks for AI use, factoring in technical and financial constraints, will form how much ethical risk due diligence companies are willing to undertake for processes such as product design and testing. - Identify gaps between where you are now and what your ethical standards require.
An AI Ethics team should be able to determine the ethical risks that need to be mitigated by their organization’s use of AI, as well as the software and technical solutions to mitigate those risks. Identifying gaps during these processes helps an organization decide on the qualitative and quantitative assessments needed to fill those gaps and strengthen its ethical AI framework over time. - Understand sources of problems, allocate appropriate resources and operationalize solutions.
Biased data sets are a major concern at the core of machine learning, reflecting humanity’s historical and societal discriminatory actions, ideologies and policies. It becomes every company’s ethical obligation to enforce strict guidelines around the responsible use of AI, implementing auditing systems to monitor unethical activity, providing ongoing employee training, and building working relationships with AI and data professionals.
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NFTs . . . Basically
Final Thoughts
AI technologies will inevitably boost business growth. How businesses use these will greatly impact their customer relationships and reputation. Implementing AI ethics such as transparency in data usage and privacy can benefit businesses by cultivating a brand reputation built on customer trust.
From healthcare and manufacturing to finance and retail, AI is here to transform industries and workplaces for decades to come as it becomes more embedded in business operations and processes. Learning how to adapt to massive waves of AI-driven change necessitates proactively viewing AI as a friend rather than a foe–a useful appendage to human creativity that requires tempering innovation with responsibility.