Towards AI

FEBRUARY 1, 2024

Last Updated on February 1, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards.

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Flipboard

JULY 31, 2023

The team paused using the AI tool to build better editorial processes and has committed to refining it to suit their editorial standards and needs. Their writer policy and guidelines regarding AI-generated content explicitly state that they don’t accept AI-generated content.

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IBM Journey to AI blog

FEBRUARY 2, 2024

The model was trained on the Recording Academy’s trusted, proprietary data, which includes artist biographies and stories from the GRAMMYs website and archives, along with their brand guidelines. The editorial team creates these insights through the AI Content Builder dashboard, using a similar interface as for social asset creation.

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Data Science Connect

JULY 22, 2023

Additionally, incorporating ethical guidelines and editorial oversight is essential to maintain the integrity and credibility of news reporting. Data scientists need to carefully curate training data to prevent the model from reflecting any inherent biases present in the dataset.

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Towards AI

FEBRUARY 8, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards. Good morning, fellow AI enthusiasts! Think a friend would enjoy this too?

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Towards AI

MARCH 28, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards. Good morning, AI enthusiasts! Think a friend would enjoy this too?

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Towards AI

FEBRUARY 22, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards. Good morning, fellow AI enthusiasts! Think a friend would enjoy this too?

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Towards AI

FEBRUARY 15, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards. Good morning, fellow AI enthusiasts! Think a friend would enjoy this too?

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Towards AI

JANUARY 11, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. If you want to publish with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards. Welcome back to the community newsletter after a two-week break for the holidays!

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Towards AI

FEBRUARY 23, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. It also includes guidelines for objectively evaluating platforms and selecting the most suitable one for your organization. While digital channels are booming, phone support remains crucial for many customers. How Can AI Be Used To Improve Customer Service?

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Towards AI

OCTOBER 7, 2023

Last Updated on October 9, 2023 by Editorial Team Author(s): Lye Jia Jun Originally published on Towards AI. This is where AI Governance steps in, offering guidelines to reconcile the competing priorities of performance and ethics. One algorithm could maximize efficiency but at the cost of privacy.

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Towards AI

OCTOBER 30, 2023

Last Updated on October 31, 2023 by Editorial Team Author(s): Lye Jia Jun Originally published on Towards AI. Other Industry Associations and Professional Bodies: These groups set professional standards, ethical guidelines, and best practices for the AI industry, acting as intermediaries between technology innovators and regulatory bodies.(Examples

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Towards AI

APRIL 10, 2023

Last Updated on April 12, 2023 by Editorial Team Author(s): Supreet Kaur Originally published on Towards AI. There is a need for guidelines and regulations to ensure that language models are used responsibly and ethically.

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Towards AI

MAY 23, 2023

Last Updated on May 25, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. They can include step-by-step guidelines and relevant links and even anticipate common follow-up questions or concerns, ensuring the customer receives a thorough response to their inquiry.

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Towards AI

APRIL 27, 2023

Last Updated on May 3, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Choosing an appropriate learning rate is a critical step in the training of machine learning models using gradient descent.

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Heartbeat

NOVEMBER 22, 2023

Prompting for Developers: A Guideline II. Prompting for Developers: A Guideline Principle 1: Write Clear and Specific Instructions Delimiters for Precision : start clearly. Tailor the context to your own needs by following the Prompting for Developers: A Guideline above. Table of Contents Introduction I.

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Heartbeat

OCTOBER 25, 2023

Robust data protection measures, secure data-sharing platforms, and adherence to ethical guidelines and regulations are necessary to safeguard personal information. Developing community-driven standards, guidelines, and open-source tools can address these challenges and promote transparency and collaboration in the field.

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Heartbeat

NOVEMBER 23, 2023

It’s about creating systems that can introspect, self-correct, and adhere to ethical and human-centric guidelines. The self-critique chain is useful when you want the model to adhere to specific ethical guidelines and avoid generating harmful text. Enter the ConstitutionalChain  — a groundbreaking feature of the LangChain framework.

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Towards AI

FEBRUARY 25, 2023

Last Updated on March 1, 2023 by Editorial Team Author(s): Samuel Van Ackere Originally published on Towards AI. With this Medium article as a guideline, you should be able to write Linked Data Event Streams to a TimescaleDB database. If you like what you read, be sure to ❤️ it — as a writer, it means the world.

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Towards AI

APRIL 1, 2023

Last Updated on April 1, 2023 by Editorial Team Author(s): Mary Reagan PhD Originally published on Towards AI. Part 2: Responsible AI Recommendations for ML Practitioners and Policy Makers By Mary Reagan and Krishnaram Kenthapadi This is a follow-up to my part 1 on ChatGPT.

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Heartbeat

FEBRUARY 2, 2024

Detailed guidelines for question generation can mitigate bias. Code example for strategies to reduce bias: # Sample code snippet illustrating guidelines for generating unbiased questions def generate_unbiased_question(image, context): """ Function to generate unbiased questions given an image and context.

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Heartbeat

FEBRUARY 21, 2023

We don't know what the input text will look like, so we’ll have to format it to fit our guidelines by slicing sentences into words that our model can easily digest. The second stage is the Tokenizer, which tokenizes the text from the document column into separate words in the output as token. Create a tokenizer token = Tokenizer().setInputCols(["document"]).setOutputCol("token")

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Heartbeat

OCTOBER 23, 2023

Developing guidelines, standards, and regulatory frameworks that promote ethical AI and machine learning practices is vital. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

DECEMBER 7, 2023

These decisions should, of course, comply with the organization’s general data mesh policies and guidelines. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

NOVEMBER 27, 2023

By fostering transparency, promoting data-sharing initiatives, developing robust evaluation standards, and adhering to ethical guidelines, the potential of deep learning in medical image analysis can be harnessed responsibly and effectively. References Dylan et al.

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Heartbeat

JANUARY 3, 2024

Establishing governance frameworks, ethical guidelines, and regulatory oversight mechanisms is essential to mitigate risks related to data privacy, algorithmic bias, and unintended consequences. Ensuring ethical and responsible deployment is vital as ML technologies become increasingly integrated into climate change mitigation strategies.

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Heartbeat

FEBRUARY 29, 2024

Future LLMs may incorporate robust ethical AI principles to ensure that the code generated aligns with ethical guidelines and avoids biases. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Heartbeat

SEPTEMBER 13, 2023

It allows developers, auditors, and regulators to examine the decision-making processes of the models, identify potential biases or errors, and assess their compliance with ethical guidelines and legal requirements. We're committed to supporting and inspiring developers and engineers from all walks of life.

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Heartbeat

SEPTEMBER 25, 2023

Furthermore, adherence to ethical guidelines and regulatory requirements is paramount for patient privacy and data security. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Towards AI

APRIL 11, 2023

Last Updated on April 12, 2023 by Editorial Team Author(s): Ketan Bhavsar Originally published on Towards AI. It flawlessly adheres to the design guidelines for font weights and colors for all screen elements, giving it a professional and polished look that makes it seem almost ready for deployment.

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Towards AI

OCTOBER 31, 2023

Last Updated on November 1, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. This directive calls on various government agencies to establish new guidelines concerning AI safety, data privacy, and cybersecurity.

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Heartbeat

OCTOBER 12, 2023

Ethical AI Governance : The ethical considerations surrounding multi-modal AI, including bias mitigation, fairness, and transparency, will drive the development of governance frameworks and regulatory guidelines to ensure responsible AI deployment.

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Towards AI

NOVEMBER 16, 2023

Last Updated on November 17, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. We will publish your work to our network if it meets our editorial policies and standards. We are excited to announce our newest newsletter! It’s all about us — the community.

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Dataconomy

SEPTEMBER 20, 2023

The functionality of ChatGPT highlights the growing necessity of implementing robust AI author guidelines in scholarly publishing. Rigorous exchanges around the implications of using ChatGPT generated content within scholarly publishing, with a view to creating comprehensive guidelines are mandatory.

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Heartbeat

MAY 29, 2023

Establishing clear ethical guidelines and standards for the use of machine learning models in sensitive areas such as hiring and criminal justice. Conducting bias audits and reviewing the model’s predictions to identify and mitigate any biases. We’re committed to supporting and inspiring developers and engineers from all walks of life.

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Towards AI

AUGUST 30, 2023

The model’s operational framework incorporates the guidelines and regulations concerning data privacy and complies with global intellectual property laws. An innovative preprocessing pipeline was implemented to optimize data quality, utilizing heuristics-driven methods for data filtering and normalization.

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Heartbeat

FEBRUARY 9, 2024

I also mentioned about “Guidelines for Developers on Prompting” in the article “ Create a Simple E-commerce Chatbot Using OpenAI + CometLLM.” Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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