Ethical Data & AI Groups
- AAPI Data "a nationally recognized publisher of demographic data and policy research on Asian Americans and Pacific Islanders, with hundreds of news mentions in national and local outlets."
- AI4ALL "a US-based nonprofit dedicated to increasing diversity and inclusion in AI education, research, development, and policy."
- AI Now Institute "The AI Now Institute produces diagnosis and actionable policy research on artificial intelligence."
- Algorithmic Justice League (AJL) "The Algorithmic Justice League’s mission is to raise awareness about the impacts of AI, equip advocates with empirical research, build the voice and choice of the most impacted communities, and galvanize researchers, policy makers, and industry practitioners to mitigate AI harms and biases. We’re building a movement to shift the AI ecosystem towards equitable and accountable AI."
- Data for Black Lives "a movement of activists, organizers, and scientists committed to the mission of using data to create concrete and measurable change in the lives of Black people."
- Feminist AI "works to put technology into the hands of makers, researchers, thinkers and learners to amplify unheard voices and create more accessible AI for all."
- The Indigenous Protocol and Artificial Intelligence (A.I.) Working Grou "develops new conceptual and practical approaches to building the next generation of A.I. systems."
- Women in AI Ethics "has elevated the voices of experts from multidisciplinary backgrounds and showcased the role of diverse perspectives in responsible design and development of AI models and systems."
Getting to Know ChatGPT
ChatGPT is an AI tool that generates text based on given prompts.
It is not a search engine that gives results for a specific search.
Instead, it creates “new content” based on the data that it has been programmed with.
When you ask ChatGPT a question it will generate a response that makes the most sense and is relevant to your specific question.
It was trained to mimic human writing. ChatGPT's algorithm is designed to use probability to decide what word might come next in a sequence. Though its answers may sound believable or credible, the information generated is not always accurate.
- Since it is currently popular, there are times when it is down or slow to generate responses.
- It was not designed to produce factually accurate information.
- The material uploaded to the algorithm is from 2021 and earlier, so CANNOT give accurate info about 2022 and beyond.
- Since it is generated from materials that may be biased, it will reproduce those structures in its answers.
- Some of the information provided may be hidden behind a paywall.
- You must create an account with your information to access the tool.
- Even with a Plus Plan, there is a limit on the number of messages you can send to the Chatbot per hour. The general cap is 25 messages every three hours. This doesn't include peak usage times either.
- Can generate basic ideas, and content. Plus it can assist with brainstorming, making book recs, and more.
- Helps construct melodies and chord progressions for writing music.
- Writes fiction stories or narratives.
- Work with you to produce and debug code.
- Questions that promote hate speech or discrimination.
- Questions that involve illegal activities or solicit illegal advice.
- Questions that promote violence or harm to oneself or others.
- Questions that invade personal privacy or violate someone's rights.
- Questions that are designed to harass, threaten or intimidate.
- Questions that contain profanity or explicit language.
- Questions that are sexually explicit or offensive.
- Questions that are discriminatory based on race, gender, sexuality or religion.
- Questions that promote or endorse illegal drugs or substances.
- Questions that are spam or irrelevant to the conversation.
- Questions that contain confidential or proprietary information.
- Questions that involve financial or investment advice.
- Questions that violate the terms of service or community guidelines.
- Questions that are nonsensical or incomprehensible.
- Questions that involve personal attacks or insults.
- Questions that are abusive or harassing.
- Questions that seek to deceive or mislead.
- Questions that are intended to defame or harm someone's reputation.
- Questions that promote conspiracy theories or misinformation.
- Questions that are purely for entertainment or joke purposes, without any educational or informative value.
Grammarly
The free version will check for 150 common grammar and spelling errors. The premium version includes suggestions to enhance vocabulary, checks for an additional 100 grammatical errors, and the ability to make style suggestions based on the type of document. Along with making suggestions for errors, Grammarly provides users with information about the error. Grammarly can help get past many surface-level challenges.
Grammar Do's, Don't of College Application Essays- U.S News
Grammarly Offers Guides about Writing and Grammar in English:
How to Use:
- Go to https://app.grammarly.com/ and log in (if needed).
- Click on “Upload” and upload the paper you want to be proofread.
- To read about the issues Grammarly found, click on the ▼expand button.
- To accept Grammarly's suggestion, click on the green button.
- To ignore Grammarly's suggestion, click "IGNORE."
Grammarly can also be used to assist with email writing. Once downloaded, it can be used with Gmail and other email services to help with grammar and spelling. The free version of Grammarly also has a tool that assesses the text for tone. Only the premium Grammarly plans include a tool that suggests tone adjustments.
Email Writing Articles:
- How to Write a Professional Email (With Tips and Examples) - Indeed
- Tone of Emails: Definition and Examples - Indeed
- Emailing Your College Professor: Do's and Don'ts - US News
Grammarly Guides on Email Writing:
- How to Write a Proper Email
- Send Emails With Confidence: 3 Ways Grammarly Improves Your Emails
- 10 Professional Email Examples for the Workplace
- 19 Email Etiquette Rules to Know
- 30 Common Grammar Mistakes to Avoid
What is Grammarly?
Grammarly is a tool that provides grammar and spelling help with data based on natural language processing and machine learning.
It works on...
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Microsoft Office suite: Word and Outlook
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Teams, Slack, Discord, Apple Mail, and Gmail
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Chrome, Safari, Firefox, and Edge
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iPhones, iPads, and Androids.
What does this mean?
Grammarly will not fix your writing for you; you can incorporate the feedback and decide what suggestions are appropriate. Some feedback may be incorrect because how and what you are writing falls out of the pre-programmed Grammarly system. Ex: Using the UK spelling of "Color"
You can use your email to create a Grammarly account, however, the University does not pay for a subscription and any choice to upgrade to a paying subscription is your own choice.
*Plans as of 1/15/2024
Grammarly Go: Grammarly's Generative AI writing tool.
It will ask you for a prompt for different scenarios in your writing journey. If you already have a Grammarly account, you’ll get 500 prompts per month.
With this tool, you can...
- Generate ideas
- Writing outlines
- Format Emails
- Create Ads
- Review your work
- Create study aids
Using GrammarlyGo to fully complete your assignments is a form of plagiarism and should be taken seriously. Please use caution with this tool.
NOTE: Grammarly's advertising "Faster feedback, better grades. Grammarly is the ultimate peer-reviewer!" is not a guarantee. Though it might help you learn about your writing skills, this tool (like the other Generative AI tools) can make errors. Plagiarising with Generative AI tools will result in lower grades and potential consequences. See the University's discussion of Plagiarism.
Grammarly has its statement: Commitment to Responsible AI
About This Page
This section will provide an overview of resources to get you started.
Getting Started
- There's More to AI Bias Than Biased Data, NIST Report Highlights
- Humans Absorb Bias from AI—And Keep It After They Stop Using the Algorithm
- Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success
- The AI Revolution In College Admissions: Balancing Efficiency And Ethics
- Admissions Offices Deploy AI
- How Generative AI Will Transform Knowledge Work
- Artificial Intelligence and the Future of Teaching and Learning
AI & Diversity
Biases exist in societal structure and human thought. It is our responsibility to be aware of those in structures and our own biases. Biases can also occur in Data Labeling, Generative AI Training, and the initial/continuing developments of AI and Generative AI.
To learn about Biases in research, look at our other guide on research.
- Explicit Biases:
- Consciously held attitudes, beliefs, or stereotypes about a group of people.
- Implicit Biases:
- Unconscious, automatic associations or stereotypes about a group of people can influence behavior and decision-making.
- Confirmation Bias:
- Generative AI can rely too much on previous trends in the data that reinforce biases, and stereotypes.
- Selection Bias:
- The data that trains Generative AI is unrepresentative of a whole population.
- Stereotyping Bias:
- Generative AI reinforces stereotypes. An example is a facial recognition system that does not identify people of color as easily as white people or a system that conforms to gender-stereotypical language.
- Outgroup Bias:
- It is based on group favoritism. Those from the "In" group are favorable, while those in the "Out" group are less desirable. Generative AI is less capable of determining between individuals who are not part of the majority group. This can cause inaccuracy when including minority groups.
There are others not mentioned that you can find HERE.
Related Articles:
- Examples of AI bias in real life: IBM (International Business Machines)
- The Political Biases of ChatGPT
- ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations, and future scope
- Bias in artificial intelligence algorithms and recommendations for mitigation.
- Gender bias in transformers: A comprehensive review of detection and mitigation strategies
- Guiding Principles to Address the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Health Care
- Age Bias In Artificial Intelligence (AI): A Visual Properties Analysis Of AI Images Of Older Versus Younger People
It is important to note that a big issue (besides Academic Integrity) that Generative AI and AI face is its harm to DEIB.
Here are some examples:
- Facial recognition: Systems are less accurate in identifying people of color, leading to potential misuse in law enforcement.
- Recruitment software: Algorithms that prioritize certain keywords or educational backgrounds can unfairly disadvantage candidates from underrepresented groups.
- Loan applications: Generative AI models may make biased decisions based on factors like zip code or credit history, perpetuating existing inequalities.
There is also a lack of diversity in the AI field. "The high tech sector employed a larger share of whites (63.5 percent to 68.5 percent), Asian Americans (5.8 percent to 14 percent) and men (52 percent to 64 percent), and a smaller share of African Americans (14.4 percent to 7.4 percent), Hispanics (13.9 percent to 8 percent), and women (48 percent to 36 percent)."- EEOC(2023)
Other points to note:
- Unintended consequences: Generative AI systems created with good intentions can have unintended consequences for marginalized groups.
- Example: An algorithm used to predict recidivism rates for criminal justice (even if it wasn't explicitly programmed to do so) may disproportionately target people of color
- Misuse: Generative AI systems could be misused to further discriminate against marginalized groups.
There are also potential benefits:
- Identifying and mitigating bias: Generative AI can be used to analyze data and identify potential biases in existing systems.
- Promoting diversity: Generative AI can personalize education and training, making it more accessible to diverse learners.
- Increasing inclusion: AI-powered tools can help people with disabilities access information and services.
Related Articles & Books:
- Algorithms of Oppression by Safiya Umoja Noble
- How Grammarly Supports Inclusive Language for the LGBTQIA+ Community | Grammarly Spotlight
- Earnings for earrings: mitigating gender bias in autocorrect
- Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning
- Gender perspective in Artificial Intelligence (AI)
- The Impact of Generative AI on Black Communities
Just like DEI and AI, there are challenges and opportunities in how the tools are used and created.
Challenges:
- Discrimination: Generative AI algorithms with preexisting biases lead to discriminatory outcomes for neurodiverse individuals, such as in hiring algorithms or facial recognition systems.
- Accessibility: Some interfaces won't be designed with neurodiversity in mind, creating barriers for individuals with cognitive differences or sensory needs.
- Lack of representation: Neurodiverse individuals are often underrepresented in the AI field, both in terms of developers and users.
Opportunities:
- Diversity of thought: By bringing together diverse perspectives, including those of neurodiverse individuals, we can foster innovation and develop more inclusive and equitable AI solutions.
- Accessibility tools: These tools can be used to develop technologies that assist neurodiverse individuals.
- Example: AI-powered communication aids can help individuals with speech difficulties.
- Increased awareness: As the conversation around Generative AI and AI and neurodiversity continues, organizations and individuals are becoming more aware of the need for inclusion and accessibility. This can lead to positive changes in policies and practices.