Fox News' Charlie Hurt and Rachel Campos-Duffy discuss inauguration fashion for this week's installment of their pop culture round-up on'Fox & Friends Weekend'. First lady Melania Trump will speak on Capitol Hill Monday for the first time since returning to the White House, participating in a roundtable with lawmakers from both chambers of Congress focused on punishing online abuse and revenge pornography. The roundtable discussion will focus on online protection and the "Take it Down Act," a bill introduced in the Senate by Sen. Ted Cruz, R-Texas, and Sen. Amy Klobuchar, D-Minn., that would make it a federal crime to publish, or threaten to publish, nonconsensual intimate imagery, including "digital forgeries" crafted by artificial intelligence. The bill also would require social media companies and similar websites to put procedures in place to remove such content within 48 hours of notice from the victim. First lady Melania Trump will speak on Capitol Hill for the first time since returning to the White House, participating in a roundtable with lawmakers from both chambers of Congress focused on punishing online abuse and revenge pornography.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. For the two weeks that the Hackneys' baby girl lay in a Pittsburgh hospital bed weak from dehydration, her parents rarely left her side, sometimes sleeping on the fold-out sofa in the room. They stayed with their daughter around the clock when she was moved to a rehab center to regain her strength. Finally, the 8-month-old stopped batting away her bottles and started putting on weight again. "She was doing well and we started to ask when can she go home," Lauren Hackney said.

Human services systems make key decisions that impact individuals in the society. The U.S. child welfare system makes such decisions, from screening-in hotline reports of suspected abuse or neglect for child protective investigations, placing children in foster care, to returning children to permanent home settings. These complex and impactful decisions on children's lives rely on the judgment of child welfare decisionmakers. Child welfare agencies have been exploring ways to support these decisions with empirical, data-informed methods that include machine learning (ML). This paper describes a conceptual framework for ML to support child welfare decisions. The ML framework guides how child welfare agencies might conceptualize a target problem that ML can solve; vet available administrative data for building ML; formulate and develop ML specifications that mirror relevant populations and interventions the agencies are undertaking; deploy, evaluate, and monitor ML as child welfare context, policy, and practice change over time. Ethical considerations, stakeholder engagement, and avoidance of common pitfalls underpin the framework's impact and success. From abstract to concrete, we describe one application of this framework to support a child welfare decision. This ML framework, though child welfare-focused, is generalizable to solving other public policy problems.

Sen. Ron Wyden, D-Ore., speaks during a Senate Finance Committee hearing on Oct. 19, 2021. Wyden says he has long been concerned about the algorithms used by his state's child welfare system. Sen. Ron Wyden, D-Ore., speaks during a Senate Finance Committee hearing on Oct. 19, 2021. Wyden says he has long been concerned about the algorithms used by his state's child welfare system. Child welfare officials in Oregon will stop using an algorithm to help decide which families are investigated by social workers, opting instead for a new process that officials say will make better, more racially equitable decisions.